技术领域technical field
本公开涉及图像处理领域，尤其涉及一种图片处理方法及装置。The present disclosure relates to the field of image processing, and in particular to an image processing method and device.
背景技术Background technique
随着智能手机的普及，用户已经习惯使用手机随时随地拍照留念，一般都会在同一场景下拍摄多张照片，选出较好的照片保存，删掉质量差(如闭眼、运动模糊等)的照片，当所拍摄的照片较多时，需要用户一一选择进行删除或保存，费时费力，比较麻烦。With the popularization of smart phones, users have become accustomed to using mobile phones to take pictures anytime and anywhere. Generally, they will take multiple photos in the same scene, select better photos to save, and delete poor quality (such as closed eyes, motion blur, etc.) For photos, when there are many photos taken, the user needs to choose to delete or save them one by one, which is time-consuming, laborious and cumbersome.
发明内容Contents of the invention
为克服相关技术中存在的问题，本公开提供一种图片处理方法及装置。所述技术方案如下：In order to overcome the problems existing in related technologies, the present disclosure provides an image processing method and device. Described technical scheme is as follows:
根据本公开实施例的第一方面，提供一种图片处理方法，包括：According to a first aspect of an embodiment of the present disclosure, a picture processing method is provided, including:
根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集；Group the image set to be processed according to the similarity between images to obtain multiple image subsets;
对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数；Perform image quality evaluation on the pictures in each picture subset to obtain the quality score of each picture;
按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。Select the first K pictures from each picture subset in order of quality scores from high to low, and display the remaining pictures in a folded manner.
本公开的实施例提供的技术方案可以包括以下有益效果：通过根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数，最后按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。从而可实现自动帮助用户选择质量较好的图片，将剩下的图片采用折叠方式显示，使得用户可直接从折叠方式显示的图片中选择删除图片或者保存图片，节省终端存储空间，提高用户体验。The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: multiple picture subsets are obtained by grouping the picture sets to be processed according to the similarity between the pictures, and image quality evaluation is performed on the pictures in each picture subset, The quality score of each picture is obtained, and finally the first K pictures are selected from each picture subset in order of quality score from high to low, and the remaining pictures are displayed in a folded manner. In this way, it can automatically help the user to select a picture with better quality, and display the remaining pictures in a folded manner, so that the user can directly choose to delete the picture or save the picture from the pictures displayed in the folded mode, saving terminal storage space and improving user experience.
进一步地，所述根据图片之间的相似度对待处理图片集进行分组，包括：Further, the grouping the set of pictures to be processed according to the similarity between pictures includes:
对每张图片进行特征提取，得到图片的图像特征，所述图像特征包括：颜色特征、纹理特征、形状特征、空间关系特征；Carry out feature extraction to each picture, obtain the image feature of picture, described image feature comprises: color feature, texture feature, shape feature, spatial relationship feature;
根据图像特征比较图片之间的相似度，将相似度大于第一预设阈值的图片划分到一个图片子集中。The similarity between the pictures is compared according to the image features, and the pictures whose similarity is greater than a first preset threshold are divided into a picture subset.
进一步地，所述对每张图片进行特征提取之前，还包括：Further, before performing feature extraction on each picture, it also includes:
按照图片的拍摄时间对待处理图片集中的图片进行排序；Sort the pictures in the picture set to be processed according to the shooting time of the pictures;
所述根据图像特征比较图片之间的相似度之前，还包括：Before comparing the similarity between pictures according to image features, it also includes:
确定图片之间的拍摄时间之差小于第二预设阈值。It is determined that the difference in shooting time between pictures is smaller than a second preset threshold.
这样可以降低计算复杂度，而且一般在同一时间段内存在相似图片的几率较大。This can reduce the computational complexity, and generally there is a higher probability of similar pictures in the same time period.
进一步地，所述对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数之前，还包括：Further, before performing the image quality evaluation on the pictures in each picture subset and obtaining the quality score of each picture, it also includes:
对有人脸的图片进行睁闭眼检测；Eye opening and closing detection for pictures with human faces;
检测出图片中的人脸闭眼时，将检测出的人脸闭眼图片的质量分数设为0。When the human face with closed eyes in the picture is detected, the quality score of the detected human face with closed eyes picture is set to 0.
通过将测出的人脸闭眼图片的质量分数设为0，不需要再进行图像质量评价，从而可进一步降低计算复杂度，缩短处理时间。By setting the quality score of the detected human face closed-eye picture to 0, no further image quality evaluation is required, thereby further reducing the computational complexity and shortening the processing time.
进一步地，还包括：Further, it also includes:
响应于用户操作，将采用折叠方式显示的图片展开显示。In response to a user operation, the picture displayed in a folded manner is expanded and displayed.
通过响应于用户操作，将采用折叠方式显示的图片展开显示，可以使用户进一步了解折叠的所有图片从而选择删除或保存。By expanding and displaying the pictures displayed in the folded manner in response to the user's operation, the user can further understand all the folded pictures and choose to delete or save them.
进一步地，所述按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片之后，还包括：Further, after selecting the first K pictures from each picture subset according to the order of quality scores from high to low, it also includes:
响应于用户操作，存储用户从所述K张图片中选择的图片。In response to a user operation, a picture selected by the user from the K pictures is stored.
根据本公开实施例的第二方面，提供一种图片处理装置，包括：According to a second aspect of an embodiment of the present disclosure, an image processing device is provided, including:
分组模块，被配置为根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集；The grouping module is configured to group the image set to be processed according to the similarity between the images to obtain a plurality of image subsets;
质量评价模块，被配置为对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数；The quality evaluation module is configured to perform image quality evaluation on the pictures in each picture subset to obtain the quality score of each picture;
处理模块，被配置为按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。The processing module is configured to select the first K pictures from each picture subset in order of quality scores from high to low, and display the remaining pictures in a folded manner.
本公开的实施例提供的技术方案可以包括以下有益效果：通过根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数，最后按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。从而可实现自动帮助用户选择质量较好的图片，将剩下的图片采用折叠方式显示，使得用户可直接从折叠方式显示的图片中选择删除图片或者保存图片，节省终端存储空间，提高用户体验。The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: multiple picture subsets are obtained by grouping the picture sets to be processed according to the similarity between the pictures, and image quality evaluation is performed on the pictures in each picture subset, The quality score of each picture is obtained, and finally the first K pictures are selected from each picture subset in order of quality score from high to low, and the remaining pictures are displayed in a folded manner. In this way, it can automatically help the user to select a picture with better quality, and display the remaining pictures in a folded manner, so that the user can directly choose to delete the picture or save the picture from the pictures displayed in the folded mode, saving terminal storage space and improving user experience.
进一步地，所述分组模块包括：Further, the grouping module includes:
特征提取子模块，被配置为对每张图片进行特征提取，得到图片的图像特征，所述图像特征包括：颜色特征、纹理特征、形状特征、空间关系特征；The feature extraction submodule is configured to perform feature extraction on each picture to obtain the image features of the picture, and the image features include: color features, texture features, shape features, and spatial relationship features;
划分子模块，被配置为根据图像特征比较图片之间的相似度，将相似度大于第一预设阈值的图片划分到一个图片子集中。The dividing sub-module is configured to compare the similarity between pictures according to image features, and divide the pictures whose similarity is greater than a first preset threshold into a picture subset.
进一步地，所述分组模块还包括：Further, the grouping module also includes:
排序子模块，被配置为在所述特征提取子模块对每张图片进行特征提取之前，按照图片的拍摄时间对待处理图片集中的图片进行排序；The sorting submodule is configured to sort the pictures in the picture set to be processed according to the shooting time of the pictures before the feature extraction submodule performs feature extraction on each picture;
确定子模块，被配置为在所述划分子模块根据图像特征比较图片之间的相似度之前，确定图片之间的拍摄时间之差小于第二预设阈值。The determination sub-module is configured to determine that the difference in shooting time between the pictures is less than a second preset threshold before the division sub-module compares the similarity between the pictures according to the image features.
这样可以降低计算复杂度，而且一般在同一时间段内存在相似图片的几率较大。This can reduce the computational complexity, and generally there is a higher probability of similar pictures in the same time period.
进一步地，还包括：Further, it also includes:
检测模块，被配置为在所述质量评价模块对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数之前，对有人脸的图片进行睁闭眼检测；The detection module is configured to perform the image quality evaluation on the pictures in each picture subset by the quality evaluation module to obtain the quality score of each picture, and to perform eye opening and closing detection on pictures with human faces;
检测出图片中的人脸闭眼时，将检测出的人脸闭眼图片的质量分数设为0。When the human face with closed eyes in the picture is detected, the quality score of the detected human face with closed eyes picture is set to 0.
通过将测出的人脸闭眼图片的质量分数设为0，不需要再进行图像质量评价，从而可进一步降低计算复杂度，缩短处理时间。By setting the quality score of the detected human face closed-eye picture to 0, no further image quality evaluation is required, thereby further reducing the computational complexity and shortening the processing time.
进一步地，所述处理模块被配置为：Further, the processing module is configured to:
响应于用户操作，将采用折叠方式显示的图片展开显示。In response to a user operation, the picture displayed in a folded manner is expanded and displayed.
通过响应于用户操作，将采用折叠方式显示的图片展开显示，可以使用户进一步了解折叠的所有图片从而选择删除或保存。By expanding and displaying the pictures displayed in the folded manner in response to the user's operation, the user can further understand all the folded pictures and choose to delete or save them.
进一步地，还包括：Further, it also includes:
交互模块，被配置为在所述处理模块按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片之后，响应于用户操作，存储用户从所述K张图片中选择的图片。The interaction module is configured to store pictures selected by the user from the K pictures in response to user operations after the processing module selects the first K pictures from each picture subset in order of quality scores from high to low .
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.
附图说明Description of drawings
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.
图1是根据一示例性实施例示出的一种图片处理方法的流程图。Fig. 1 is a flow chart showing a method for processing an image according to an exemplary embodiment.
图2是根据另一示例性实施例示出的一种图片处理方法的流程图。Fig. 2 is a flow chart of a method for image processing according to another exemplary embodiment.
图3是根据一示例性实施例示出的一种图片处理装置的框图。Fig. 3 is a block diagram of an image processing device according to an exemplary embodiment.
图4是根据另一示例性实施例示出的一种图片处理装置的框图。Fig. 4 is a block diagram of an image processing apparatus according to another exemplary embodiment.
图5是根据另一示例性实施例示出的一种图片处理装置的框图。Fig. 5 is a block diagram of an image processing apparatus according to another exemplary embodiment.
图6是根据另一示例性实施例示出的一种图片处理装置的框图。Fig. 6 is a block diagram of an image processing apparatus according to another exemplary embodiment.
图7是根据另一示例性实施例示出的一种图片处理装置的框图。Fig. 7 is a block diagram of an image processing apparatus according to another exemplary embodiment.
图8是根据一示例性实施例示出的一种图片处理装置的框图。Fig. 8 is a block diagram of an image processing device according to an exemplary embodiment.
通过上述附图，已示出本公开明确的实施例，后文中将有更详细的描述。这些附图和文字描述并不是为了通过任何方式限制本公开构思的范围，而是通过参考特定实施例为本领域技术人员说明本公开的概念。By means of the above-mentioned drawings, certain embodiments of the present disclosure have been shown and will be described in more detail hereinafter. These drawings and written description are not intended to limit the scope of the disclosed concept in any way, but to illustrate the disclosed concept for those skilled in the art by referring to specific embodiments.
具体实施方式detailed description
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本公开的一些方面相一致的装置和方法的例子。Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.
图1是根据一示例性实施例示出的一种图片处理方法的流程图，本实施例的方法可应用于具有拍摄功能或存储图片功能的终端，如手机、相机、个人计算机等电子设备。本实施例以该图片处理方法应用于终端中来举例说明。该图片处理方法可以包括如下步骤。Fig. 1 is a flow chart of a method for processing pictures according to an exemplary embodiment. The method of this embodiment can be applied to terminals capable of photographing or storing pictures, such as mobile phones, cameras, personal computers and other electronic devices. This embodiment is described by taking the picture processing method applied to a terminal as an example. The image processing method may include the following steps.
在步骤S11中，根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集。In step S11, the set of pictures to be processed is grouped according to the similarity between the pictures to obtain multiple picture subsets.
具体来说，本实施例中，图片也即照片，图片之间的相似度是指图片的图像特征的相似度，一般地，同一时间段内、同一场景下拍摄的照片相似度是较高的，可以划分到一个图片子集中。Specifically, in this embodiment, pictures are photos, and the similarity between pictures refers to the similarity of the image features of the pictures. Generally, the similarity of pictures taken in the same time period and in the same scene is relatively high. , can be divided into a subset of images.
作为一种可实施的方式，根据图片之间的相似度对待处理图片集进行分组，具体可以为：As an implementable manner, the image sets to be processed are grouped according to the similarity between the images, which may specifically be:
对每张图片进行特征提取，得到图片的图像特征，所述图像特征包括：颜色特征、纹理特征、形状特征、空间关系特征。根据图像特征比较图片之间的相似度，将相似度大于第一预设阈值的图片划分到一个图片子集中。例如，第一预设阈值为70％，即就是将相似度大于70％的图片划分到一个图片子集中。Feature extraction is performed on each picture to obtain image features of the picture, and the image features include: color features, texture features, shape features, and spatial relationship features. The similarity between the pictures is compared according to the image features, and the pictures whose similarity is greater than a first preset threshold are divided into a picture subset. For example, the first preset threshold is 70%, that is, pictures with a similarity greater than 70% are divided into a picture subset.
其中，颜色特征、纹理特征、形状特征、空间关系特征为常用的图像特征。颜色特征是一种全局特征，描述了图像或图像区域所对应的景物的表面性质，一般颜色特征是基于像素点的特征。颜色特征提取方法如颜色直方图等。纹理特征也是一种全局特征，描述了图像或图像区域所对应景物的表面性质。但由于纹理只是一种物体表面的特性，并不能完全反映出物体的本质属性，所以仅仅利用纹理特征是无法获得高层次图像内容的。与颜色特征不同，纹理特征不是基于像素点的特征，它需要在包含多个像素点的区域中进行统计计算。纹理特征提取方法如统计法、几何法、模型法和信号处理法等。通常情况下，形状特征有两类表示方法，一类是轮廓特征，另一类是区域特征。图像的轮廓特征主要针对物体的外边界，而图像的区域特征则关系到整个形状区域。形状特征描述方法如边界特征法、傅里叶形状描述符法和几何参数法。提取图像空间关系特征可以有两种方法：一种方法是首先对图像进行自动分割，划分出图像中所包含的对象或颜色区域，然后根据这些区域提取图像特征，并建立索引；另一种方法则简单地将图像均匀地划分为若干规则子块，然后对每个图像子块提取特征，并建立索引。Among them, color features, texture features, shape features, and spatial relationship features are commonly used image features. The color feature is a global feature, which describes the surface properties of the scene corresponding to the image or image area, and the general color feature is based on the feature of the pixel. Color feature extraction methods such as color histogram, etc. Texture feature is also a global feature, which describes the surface properties of the scene corresponding to the image or image region. However, since texture is only a characteristic of the surface of an object, it cannot fully reflect the essential properties of the object, so it is impossible to obtain high-level image content only by using texture features. Different from color features, texture features are not pixel-based features, which require statistical calculations in regions containing multiple pixels. Texture feature extraction methods such as statistical methods, geometric methods, model methods and signal processing methods. Generally, there are two types of representation methods for shape features, one is contour features, and the other is area features. The contour feature of the image is mainly aimed at the outer boundary of the object, while the regional feature of the image is related to the entire shape area. Shape feature description methods such as boundary feature method, Fourier shape descriptor method and geometric parameter method. There are two ways to extract image spatial relationship features: one method is to first automatically segment the image, divide the object or color area contained in the image, and then extract image features based on these areas, and build an index; the other method Then simply divide the image evenly into several regular sub-blocks, then extract features for each image sub-block, and build an index.
进一步地，对每张图片进行特征提取之前，还可以包括：按照图片的拍摄时间对待处理图片集中的图片进行排序。根据图像特征比较图片之间的相似度之前，还可以包括：Further, before performing feature extraction on each picture, it may also include: sorting the pictures in the picture set to be processed according to the shooting time of the pictures. Before comparing the similarity between pictures according to image features, it can also include:
确定图片之间的拍摄时间之差小于第二预设阈值。It is determined that the difference in shooting time between pictures is smaller than a second preset threshold.
其中的第二预设阈值例如为10分钟或30分钟，即就是对在小于第二预设阈值的时间段内拍摄的照片进行特征提取、进而分组，这样可以降低计算复杂度，而且一般在同一时间段内存在相似图片的几率较大。Wherein the second preset threshold is, for example, 10 minutes or 30 minutes, that is, feature extraction is performed on photos taken within a time period less than the second preset threshold, and then grouped, which can reduce computational complexity, and generally within the same There is a higher probability of similar pictures in the time period.
在步骤S12中，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数。In step S12, the image quality evaluation is performed on the pictures in each picture subset, and the quality score of each picture is obtained.
具体地，衡量图像质量的因素主要是图像的清晰度、亮度等，如对于运动模糊的图片而言质量分数较低。图像质量评价也可采用现有的一些其他方法。Specifically, factors to measure image quality are mainly image clarity, brightness, etc., for example, the quality score of a motion blurred image is relatively low. Image quality evaluation can also use some other existing methods.
进一步地，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数之前，还可以包括：Further, before performing image quality evaluation on the pictures in each picture subset, and obtaining the quality score of each picture, it may also include:
对有人脸的图片进行睁闭眼检测，检测出图片中的人脸闭眼时，将检测出的人脸闭眼图片的质量分数设为0。Open and close eyes detection is carried out to the picture of human face, when detecting that the human face in the picture is closed eyes, the quality score of the detected human face closed eyes picture is set to 0.
本实施例中，首先对图片进行人脸检测，检测有有人脸的图片，对于人脸闭眼的图片默认为是质量差的图片，将检测出的人脸闭眼图片的质量分数直接设为0，不需要再进行图像质量评价。进一步降低计算复杂度，缩短处理时间。In this embodiment, at first the face detection is carried out to the picture, and the picture with a human face is detected, and the picture with the closed eye of the human face is defaulted as a poor quality picture, and the quality score of the detected human face closed eye picture is directly set to 0, there is no need to perform image quality evaluation. Further reduce the computational complexity and shorten the processing time.
在步骤S13中，按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。In step S13, the first K pictures are selected from each picture subset in order of quality scores from high to low, and the remaining pictures are displayed in a folded manner.
具体来说，K为预设的大于等于1的正整数，K可以由用户预设，比如在对一个图片集进行处理之前，由用户设定，K也可以默认为1。按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。一般地，图片的原图存放在终端指定的文件夹中，展示给用户的是图片的缩略图，折叠方式显示是指将被折叠的图片在显示的时候只显示一张缩略图，用户点击该缩略图后，依次展开所有图片的缩略图，采用折叠方式显示的就是图片的缩略图，比如选取出前K张图片后，剩下的图片有10张，将剩下的10张图片采用折叠方式显示给用户，可以使用10张图片中质量最好的一张图片的缩略图作为折叠后展示的缩略图。进一步地，折叠后展示的缩略图上还可以显示一点击标识如箭头，用户点击该箭头后，终端响应于用户操作，将采用折叠方式显示的图片展开显示，可以使用户进一步了解折叠的所有图片从而选择删除或保存。可选的，还可以是选取出前K张图片后，将剩下的图片删除，或者提示用户是否选择删除，在删除图片时，可以只删除本地的图片，而云端的保留，这样可以防止误删除。Specifically, K is a preset positive integer greater than or equal to 1, and K can be preset by the user, for example, set by the user before processing an image collection, and K can also be 1 by default. Select the first K pictures from each picture subset in order of quality scores from high to low, and display the remaining pictures in a folded manner. Generally, the original image of the picture is stored in the folder specified by the terminal, and the thumbnail of the picture is displayed to the user. The folded display means that only one thumbnail is displayed when the folded picture is displayed, and the user clicks on the After the thumbnails, expand the thumbnails of all the pictures one by one, and the thumbnails of the pictures are displayed in a folded manner. For example, after selecting the first K pictures, there are 10 remaining pictures, and the remaining 10 pictures are displayed in a folded manner For users, you can use the thumbnail of the best quality picture among the 10 pictures as the thumbnail displayed after folding. Furthermore, a click mark such as an arrow can also be displayed on the thumbnail displayed after folding. After the user clicks the arrow, the terminal responds to the user's operation and expands and displays the picture displayed in the folded mode, so that the user can further understand all the folded pictures. Choose to delete or save. Optionally, after selecting the first K pictures, delete the remaining pictures, or prompt the user whether to choose to delete. When deleting pictures, you can only delete the local pictures, and keep them in the cloud, so as to prevent accidental deletion .
进一步地，按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片之后，还可以包括：响应于用户操作，存储用户从K张图片中选择的图片。例如从每一个图片子集中选取出K张图片之后，K例如为3，一共有3个图片子集，则共选出3x3＝9张图片，显示给用户，由用户选择保留这9张图片中的哪些图片。还可以是自动从每一个图片子集中选取出最好的一张，一共有3个图片子集，则共选出3张图片，显示给用户，由用户选择是否保留。Further, after selecting the first K pictures from each picture subset in order of quality scores from high to low, the method may further include: storing pictures selected by the user from the K pictures in response to user operations. For example, after selecting K pictures from each picture subset, K is for example 3, and there are 3 picture subsets in total, then a total of 3x3=9 pictures are selected and displayed to the user, and the user chooses to keep these 9 pictures which pictures of . It is also possible to automatically select the best one from each picture subset. If there are 3 picture subsets in total, 3 pictures will be selected and displayed to the user, and the user can choose whether to keep it or not.
综上所述，本实施例提供的图片处理方法，通过根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数，最后按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。从而可实现自动帮助用户选择质量较好的图片，将剩下的图片采用折叠方式显示，使得用户可直接从折叠方式显示的图片中选择删除图片或者保存图片，节省终端存储空间，提高用户体验。To sum up, the image processing method provided in this embodiment obtains multiple image subsets by grouping the image sets to be processed according to the similarity between images, and evaluates the image quality of the images in each image subset, and obtains Get the quality score of each picture, and finally select the first K pictures from each picture subset in order of quality score from high to low, and display the remaining pictures in a folded manner. In this way, it can automatically help the user to select a picture with better quality, and display the remaining pictures in a folded manner, so that the user can directly choose to delete the picture or save the picture from the pictures displayed in the folded mode, saving terminal storage space and improving user experience.
下面结合一具体实施例，对图1所示的技术方案进行详细说明。The technical solution shown in FIG. 1 will be described in detail below in conjunction with a specific embodiment.
图2是根据另一示例性实施例示出的一种图片处理方法的流程图，本实施例的方法可应用于具有拍摄功能或存储图片功能的终端，如手机、相机、个人计算机等电子设备。本实施例以该图片处理方法应用于终端中来举例说明。该图片处理方法可以包括如下步骤。Fig. 2 is a flow chart of a picture processing method according to another exemplary embodiment. The method of this embodiment can be applied to terminals with the function of shooting or storing pictures, such as mobile phones, cameras, personal computers and other electronic devices. This embodiment is described by taking the picture processing method applied to a terminal as an example. The image processing method may include the following steps.
在步骤S21中，按照图片的拍摄时间对待处理图片集中的图片进行排序。In step S21, the pictures in the picture set to be processed are sorted according to the shooting time of the pictures.
在步骤S22中，对每张图片进行特征提取，得到图片的图像特征。图像特征包括：颜色特征、纹理特征、形状特征、空间关系特征。In step S22, feature extraction is performed on each picture to obtain image features of the picture. Image features include: color features, texture features, shape features, and spatial relationship features.
在步骤S23中，确定图片之间的拍摄时间之差小于第二预设阈值。In step S23, it is determined that the difference in shooting time between pictures is smaller than a second preset threshold.
其中，第二预设阈值例如为10分钟或30分钟，即就是对在小于第二预设阈值的时间段内拍摄的照片进行特征提取、进而分组，这样可以降低计算复杂度，而且一般在同一时间段内存在相似图片的几率较大。Wherein, the second preset threshold is, for example, 10 minutes or 30 minutes, that is, feature extraction is performed on photos taken within a time period less than the second preset threshold, and then grouped, which can reduce computational complexity, and generally within the same There is a higher probability of similar pictures in the time period.
在步骤S24中，对确定出的图片之间的拍摄时间之差小于第二预设阈值的图片，根据图像特征比较图片之间的相似度，将相似度大于第一预设阈值的图片划分到一个图片子集中。In step S24, for the pictures whose shooting time difference between the determined pictures is smaller than the second preset threshold, the similarity between the pictures is compared according to the image features, and the pictures whose similarity is greater than the first preset threshold are divided into A subset of images.
在步骤S25中，对有人脸的图片进行睁闭眼检测，检测出图片中的人脸闭眼时，将检测出的人脸闭眼图片的质量分数设为0。In step S25, the eye opening and closing detection is performed on the picture of the human face, and when the human face in the picture is detected with closed eyes, the quality score of the detected human face with closed eyes picture is set to 0.
在步骤S26中，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数。In step S26, image quality evaluation is performed on the pictures in each picture subset to obtain the quality score of each picture.
其中，对于脸闭眼图片就不需要再进行图像质量评价了。Among them, there is no need to perform image quality evaluation for the face-closed-eye picture.
在步骤S27中，按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。In step S27, the first K pictures are selected from each picture subset in order of quality scores from high to low, and the remaining pictures are displayed in a folded manner.
进一步地，在步骤S27之后，还可以包括：响应于用户操作，将采用折叠方式显示的图片展开显示。Further, after step S27, it may further include: responding to user operation, unfolding and displaying the picture displayed in a folded manner.
在步骤S27之后，还可以包括：响应于用户操作，存储用户从K张图片中选择的图片。例如从每一个图片子集中选取出K张图片之后，K例如为3，一共有3个图片子集，则共选出3x3＝9张图片，显示给用户，由用户选择保留这9张图片中的哪些图片。After step S27, it may further include: storing a picture selected by the user from the K pictures in response to a user operation. For example, after selecting K pictures from each picture subset, K is for example 3, and there are 3 picture subsets in total, then a total of 3x3=9 pictures are selected and displayed to the user, and the user chooses to keep these 9 pictures which pictures of .
下述为本公开装置实施例，可以用于执行本公开方法实施例。对于本公开装置实施例中未披露的细节，请参照本公开方法实施例。The following are device embodiments of the present disclosure, which can be used to implement the method embodiments of the present disclosure. For details not disclosed in the disclosed device embodiments, please refer to the disclosed method embodiments.
图3是根据一示例性实施例示出的一种图片处理装置的框图。该图片处理装置可以通过软件、硬件或者两者的结合实现成为终端的部分或者全部。参照图3，该装置包括：分组模块11、质量评价模块12和处理模块13。Fig. 3 is a block diagram of an image processing device according to an exemplary embodiment. The picture processing device can be implemented as part or all of the terminal through software, hardware or a combination of the two. Referring to FIG. 3 , the device includes: a grouping module 11 , a quality evaluation module 12 and a processing module 13 .
分组模块11被配置为根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集。The grouping module 11 is configured to group the set of pictures to be processed according to the similarity between the pictures to obtain multiple picture subsets.
质量评价模块12被配置为对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数。The quality evaluation module 12 is configured to perform image quality evaluation on the pictures in each picture subset to obtain a quality score for each picture.
处理模块13被配置为按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。The processing module 13 is configured to select the top K pictures from each picture subset in descending order of quality scores, and display the remaining pictures in a folded manner.
综上所述，本实施例提供的装置，通过根据图片之间的相似度对待处理图片集进行分组，得到多个图片子集，对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数，最后按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片，将剩下的图片采用折叠方式显示。从而可实现自动帮助用户选择质量较好的图片，将剩下的图片采用折叠方式显示，使得用户可直接从折叠方式显示的图片中选择删除图片或者保存图片，节省终端存储空间，提高用户体验。To sum up, the device provided in this embodiment obtains multiple subsets of pictures by grouping the set of pictures to be processed according to the similarity between the pictures, evaluates the image quality of the pictures in each subset of pictures, and obtains The quality scores of each picture, and finally select the first K pictures from each picture subset in order of quality score from high to low, and display the remaining pictures in a folded manner. In this way, it can automatically help the user to select a picture with better quality, and display the remaining pictures in a folded manner, so that the user can directly choose to delete the picture or save the picture from the pictures displayed in the folded mode, saving terminal storage space and improving user experience.
图4是根据另一示例性实施例示出的一种图片处理装置的框图。参照图4，在图3所示的图片处理装置的基础上，进一步地，分组模块11包括:特征提取子模块111和划分子模块112。Fig. 4 is a block diagram of an image processing apparatus according to another exemplary embodiment. Referring to FIG. 4, on the basis of the image processing device shown in FIG. 3, further, the grouping module 11 includes: a feature extraction submodule 111 and a division submodule 112.
特征提取子模块111被配置为对每张图片进行特征提取，得到图片的图像特征，所述图像特征包括：颜色特征、纹理特征、形状特征、空间关系特征。The feature extraction sub-module 111 is configured to perform feature extraction on each picture to obtain image features of the picture, and the image features include: color features, texture features, shape features, and spatial relationship features.
划分子模块112被配置为根据图像特征比较图片之间的相似度，将相似度大于第一预设阈值的图片划分到一个图片子集中。The division sub-module 112 is configured to compare the similarity between pictures according to image features, and divide the pictures whose similarity is greater than a first preset threshold into a picture subset.
图5是根据另一示例性实施例示出的一种图片处理装置的框图。参照图5，在图4所示的图片处理装置的基础上，进一步地，分组模块11还包括排序子模块113和确定子模块114。Fig. 5 is a block diagram of an image processing apparatus according to another exemplary embodiment. Referring to FIG. 5 , on the basis of the image processing apparatus shown in FIG. 4 , the grouping module 11 further includes a sorting submodule 113 and a determining submodule 114 .
排序子模块113被配置为在所述特征提取子模块111对每张图片进行特征提取之前，按照图片的拍摄时间对待处理图片集中的图片进行排序。The sorting sub-module 113 is configured to sort the pictures in the set of pictures to be processed according to the shooting time of the pictures before the feature extraction sub-module 111 performs feature extraction on each picture.
确定子模块114被配置为在所述划分子模块112根据图像特征比较图片之间的相似度之前，确定图片之间的拍摄时间之差小于第二预设阈值。The determination sub-module 114 is configured to determine that the difference in shooting time between the pictures is less than a second preset threshold before the division sub-module 112 compares the similarity between the pictures according to the image features.
本实施例中，进一步可以降低计算复杂度，而且一般在同一时间段内存在相似图片的几率较大。In this embodiment, the computational complexity can be further reduced, and generally there is a higher probability of similar pictures in the same time period.
图6是根据另一示例性实施例示出的一种图片处理装置的框图。参照图6，在图2所示的图片处理装置的基础上，进一步地，还包括检测模块16，该检测模块16被配置为在所述质量评价模块12对每一个图片子集中的图片进行图像质量评价，得出每张图片的质量分数之前，对有人脸的图片进行睁闭眼检测，检测出图片中的人脸闭眼时，将检测出的人脸闭眼图片的质量分数设为0。Fig. 6 is a block diagram of an image processing apparatus according to another exemplary embodiment. Referring to FIG. 6 , on the basis of the picture processing device shown in FIG. 2 , it further includes a detection module 16 configured to perform image processing on the pictures in each picture subset in the quality evaluation module 12 . Quality evaluation, before the quality score of each picture is obtained, the eyes of the face are detected, and when the face in the picture is detected, the quality score of the detected face and eyes is set to 0 .
通过将测出的人脸闭眼图片的质量分数设为0，不需要再进行图像质量评价，从而可进一步降低计算复杂度，缩短处理时间。By setting the quality score of the detected human face closed-eye picture to 0, no further image quality evaluation is required, thereby further reducing the computational complexity and shortening the processing time.
进一步地，处理模块13还被配置为：响应于用户操作，将采用折叠方式显示的图片展开显示。Further, the processing module 13 is further configured to: in response to a user operation, expand and display the picture displayed in a folded manner.
通过响应于用户操作，将采用折叠方式显示的图片展开显示，可以使用户进一步了解折叠的所有图片从而选择删除或保存。By expanding and displaying the pictures displayed in the folded manner in response to the user's operation, the user can further understand all the folded pictures and choose to delete or save them.
图7是根据另一示例性实施例示出的一种图片处理装置的框图。参照图7，在图2所示的图片处理装置的基础上，进一步地，还包括交互模块17，该交互模块17被配置为在所述处理模块13按照质量分数从高到低的顺序从每一个图片子集中选取出前K张图片之后，响应于用户操作，存储用户从所述K张图片中选择的图片。Fig. 7 is a block diagram of an image processing apparatus according to another exemplary embodiment. Referring to FIG. 7 , on the basis of the image processing device shown in FIG. 2 , it further includes an interaction module 17 configured to perform each process in the order of quality scores from high to low in the processing module 13 . After the first K pictures are selected from a picture subset, the picture selected by the user from the K pictures is stored in response to user operation.
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。Regarding the apparatus in the foregoing embodiments, the specific manner in which each module executes operations has been described in detail in the embodiments related to the method, and will not be described in detail here.
图8是根据一示例性实施例示出的一种图片处理装置的框图。例如，装置800可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。Fig. 8 is a block diagram of an image processing device according to an exemplary embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
参照图8，装置800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)接口812，传感器组件814，以及通信组件816。8, apparatus 800 may include one or more of the following components: processing component 802, memory 804, power supply component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816 .
处理组件802通常控制装置800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。The processing component 802 generally controls the overall operations of the device 800, such as those associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802 .
存储器804被配置为存储各种类型的数据以支持在装置800的操作。这些数据的示例包括用于在装置800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。The memory 804 is configured to store various types of data to support operations at the device 800 . Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.
电源组件806为装置800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为装置800生成、管理和分配电力相关联的组件。The power supply component 806 provides power to the various components of the device 800 . Power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 800 .
多媒体组件808包括在所述装置800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当装置800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or swipe action, but also detect duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当装置800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone (MIC) configured to receive external audio signals when the device 800 is in operation modes, such as call mode, recording mode and voice recognition mode. Received audio signals may be further stored in memory 804 or sent via communication component 816 . In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。The I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.
传感器组件814包括一个或多个传感器，用于为装置800提供各个方面的状态评估。例如，传感器组件814可以检测到装置800的打开/关闭状态，组件的相对定位，例如所述组件为装置800的显示器和小键盘，传感器组件814还可以检测装置800或装置800一个组件的位置改变，用户与装置800接触的存在或不存在，装置800方位或加速/减速和装置800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。Sensor assembly 814 includes one or more sensors for providing status assessments of various aspects of device 800 . For example, the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800, and the sensor component 814 can also detect a change in the position of the device 800 or a component of the device 800 , the presence or absence of user contact with the device 800 , the device 800 orientation or acceleration/deceleration and the temperature change of the device 800 . Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. Sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.
通信组件816被配置为便于装置800和其他设备之间有线或无线方式的通信。装置800可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。The communication component 816 is configured to facilitate wired or wireless communication between the apparatus 800 and other devices. The device 800 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.
在示例性实施例中，装置800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。In an exemplary embodiment, apparatus 800 may be programmed by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the methods described above.
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器804，上述指令可由装置800的处理器820执行以完成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as the memory 804 including instructions, which can be executed by the processor 820 of the device 800 to implement the above method. For example, the non-transitory computer readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
一种非临时性计算机可读存储介质，当所述存储介质中的指令由装置800的处理器执行时，使得装置800能够执行一种图片处理方法。A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the device 800, the device 800 can execute a picture processing method.
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求书指出。Other embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, and these modifications, uses or adaptations follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure . The specification and examples are to be considered exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求书来限制。It should be understood that the present disclosure is not limited to the precise constructions which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
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| CN201611150985.1ACN106528879A (en) | 2016-12-14 | 2016-12-14 | Picture processing method and device |
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