Installation

Examples

Overview

Original image

Basics

Grayscale image

PImageprocessedImage =Grayscale.apply(image);

Flip image

PImageprocessedImage =Flip.apply(image,horizontal,vertical);// horizontal and vertical are boolean

Invert colors

// invertRed, invertGreen and invertBlue are booleanPImageprocessedImage =InvertColors.apply(image,invertRed,invertGreen,invertBlue);

Threshold image

PImageprocessedImage =Threshold.apply(image);// Auto thresholdPImageprocessedImage =Threshold.apply(image,value);// Threshold value between 0 and 255

Dilation image

PImageprocessedImage =Dilation.apply(image,radius);// radius is a positive number

Erosion image

PImageprocessedImage =Erosion.apply(image,radius);// radius is a positive number

Vignette image

// intensity and vignetteWidth are floats between 0.0 and 1.0PImageprocessedImage =Vignette.apply(image,intensity,vignetteWidth);

Quantization

PImageprocessedImage =Quantization.apply(image,shades);// shades is a positive number between 1 and 255

PaletteMapping

PImageprocessedImage =PaletteMapping.apply(image,color1,color2,color3);// Add any number of colors from dark to light

Difference

// difference is a float between 0.0 and 1.0 from less to very differentfloatdifference =Comparison.howDifferent(image1,image2);// differenceImage is the difference between the pixel values (black is no difference, white is high difference)PImagedifferenceImage =Comparison.calculateDifferenceImage(image1,image2);

Blur

Gaussian blur image

PImageprocessedImage =Gaussian.apply(image,7,0.84089642);// kernel size and sigma

Pixelize image

// pixelsize is a positive numberPImageprocessedImage =Pixelation.apply(image,pixelsize);// Pixelize a sub area of the input imagePImageprocessedImage =Pixelation.apply(image,pixelsize,subX,subY,subWidth,subHeight);

Tilt-Shift-Effect

PImageprocessedImage =TiltShift.apply(image,blurIntensity,horizontal,position,sharpWideness);

Edge detection

Canny's algorithm

PImageprocessedImage =CannyEdgeDetector.apply(image);

Sobels algorithm

PImageprocessedImage =SobelEdgeDetector.apply(image);// for colored sobel (for each color channel)PImageprocessedImage =SobelEdgeDetector.apply(image,false);

Optimisation

Brightness

PImageprocessedImage =Brightness.apply(image,value);// value isa positive number for brighting up or a negative for darken down

Contrast

// intensity is between -1.0 and 1.0PImageprocessedImage =Contrast.apply(image,intensity);

Saturation

// intensity is between 0.0 and 10.0// 0.0 to 1.0 decreases and all above increases the saturationPImageprocessedImage =Saturation.apply(image,intensity);

Changing highlights

// intensity between -1.0 and 1.0PImageprocessedImage =Lights.apply(image,intensity);

Changing shadows

// intensity between -1.0 and 1.0PImageprocessedImage =Shadows.apply(image,intensity);

AutoBalance image

PImageprocessedImage =AutoBalance.apply(image);

Bloom image

PImageprocessedImage =Bloom.apply(image,intensity);// intensity between 0 and 255

Sharpen image

PImageprocessedImage =Sharpen.apply(image,sharpIntensity);// sharpIntensity between 0.0 and 10.0

Color shift image

// hue is a value between 0 and 360// offset is the color range which is accepted (in hue range)// shift is the number of the subtracted or added hue valuePImageprocessedImage =ColorShift.applyHue(image,hue,offset,shift);// or short: ColorShift.apply(image, hue, offset, shift)PImageprocessedImage =ColorShift.applySaturation(image,hue,offset,shift);PImageprocessedImage =ColorShift.applyBrightness(image,hue,offset,shift);

Looks

Lookup table image

LUTstyle =LUT.loadLut(LUT.STYLE.CONTRAST);PImageprocessedImage =LUT.apply(image,style);

RetroConsole effect (Gameboy)

PImageprocessedImage =RetroConsole.applyGameboy(image,pixelSize);

Glitch image

PImageprocessedImage =Glitch.apply(image,intensity,scanlineheight);

Matte effect

PImageprocessedImage =Matte.apply(image,matteIntensity,// intensity for the lifting blacks between 0 and 255contrastIntensity,// intensity for the constrast between 0 and 255saturationIntensity);// change for the saturation between -0.5 and 0.5

Sabattier effect

// intensity between 0.0 and 1.0PImageprocessedImage =Sabattier.apply(image,intensity);PImageprocessedImage =Sabattier.applyRed(image,intensity);PImageprocessedImage =Sabattier.applyGreen(image,intensity);PImageprocessedImage =Sabattier.applyBlue(image,intensity);

Strokes image

PImageprocessedImage =Strokes.apply(image,gridSize,lineLength);PImageprocessedImage =Strokes.apply(image,gridSize,// is positive and the area for compound pixelslineLength,// is positive and the length in pixels for each linelineWeight,// is positive and the weight of each line in pixellinesPerGrid,// the number of lines per gridlineIntensity,// alpha value for each line between 0 and 255degree,// if set the rotation is fixed in degree, otherwise randominColor,// true for colors else black and whitebackgroundColor);// color for the background

Dithering

// default dithering algorithm is BAYER_4x4PImageprocessedImage =Dithering.apply(image);// change algrithm: BAYER_2x2, BAYER_4x4, BAYER_8x8PImageprocessedImage =Dithering.apply(image,Dithering.Algorithm.BAYER_8x8);// use a curstom kernel (kernel = float[])PImageprocessedImage =Dithering.aapply(PImageimage,kernel);

Halftone image

PImageprocessedImage =Halftone.apply(image,dotsize);// dot size in pixelPImageprocessedImage =Halftone.apply(image,dotsize,grid);// grid = true, on false honeycomb stylePImageprocessedImage =Halftone.apply(image,dotsize,foreground,background);// background and foreground colorsPImageprocessedImage =Halftone.apply(image,dotsize,foreground,background,grid);PImageprocessedImage =Halftone.apply(image,dotsize,foreground,background,spacing,grid);// size between dots in pixels

Toning image

// tone is a color and intensity is a value between 0.0 and 1.0colortone =color(255,11,120);floatintensity =0.8f;PImageprocessedImage =Toning.apply(image,tone,intensity);

Split toning image

PImageprocessedImage =SplitToning.apply(image,highlightTone,// Color for highlighs (f.e. color highlightTone = color(211, 180, 21);intensityHighlights,// intensity for the toning in highlights between 0.0 and 1.0shadowTone,// Color for the shadows (f.e. color shadowTone = color(124, 32, 201);intensityShadows);// intensity for the toning in the shadows between 0.0 and 1.0

Sine-Wave image

PImageprocessedImage =SineWave.apply(image,rowHeight,weight,backgroundColor,wavesColor);

Knitting image

// keeps the original colorsPImageprocessedImage =Knitting.apply(image,size);// Sets foreground and background color and uses a thresholdPImageprocessedImage =Knitting.apply(image,size,threshold,240, #EE0000);

ASCII image

PImageprocessedImage =ASCII.apply(image);// characterset = ASCII.SHORT_SET or ASCII.LONG_SET, another String from black to whitePImageprocessedImage =ASCII.apply(image,characterset);PImageprocessedImage =ASCII.apply(image,characterset,fontSize);// fontSize is an integerPImageprocessedImage =ASCII.apply(image,characterset,fontSize,foregroundColor,backgroundColor,toneInColor);// To get the ASCII image as plain string use the following methodPImageprocessedImage =ASCII.getAsciiText(image);

Miscellaneous

Stacked images

// Add so many images in the end as you needPImageprocessedImage =Stacker.apply(Stacker.ALGORITHM.AVERAGE,image1,image2);PImageprocessedImage =Stacker.apply(Stacker.ALGORITHM.MEDIAN,image1,image2);

Blending two images

// intensity is a float between 0.0 and 1.0PImageprocessedImage =Blend.apply(image1,image2,intensity);

Special thanks