According to the spatial transformation based approach for gamut mapping, the degradation model is equivalent to the transformation that describes color change from the known test sample to the downloaded known test sample. The degradation model can also be represented by the transformation T in Equation (1).

T can be numerically determined with the offline process introduced previously. In the preferred embodiment, T is a nonlinear function based on the 3rd (or 4th) order bivariate polynomials. Accordingly, Equation (1) can be re-formulated as in Equation (3) using the matrix format.

Equation (2) can be re-formulated in the same way as in Equation (3). The twenty polynomial coefficients (t01 … t91, t02 … t92) can be computed using the chromaticity data contained in the video clips (the original and the color degraded ones) and certain mathematical tools such as, e.g., Matlab® available from The MathWorks, Inc. of Natick, Massachusetts.

If the preferred mathematical method, the 3rd or 4th order bivariate polynomials, is used to define the degradation model, the polynomial coefficients need to be computed or obtained based on the chromatic data obtained from both samples. In addition, certain mathematical tools or methods, e.g. Matlab® or user developed computer programs, are also needed to compute the polynomial coefficients.

As for color correction, it is actually defined by Equation (2), the inverse gamut mapping process. When a web video clip is downloaded or streamed to a computer/digital player, the chromatic values [b1, b2] of each pixel will be processed through Equation (2) (or more specifically the inverse mapping version of Equation (3)) to obtain the original color values [a1, a2] (or the corrected/improved color that is close to [a1, a2]) for the correct or improved color representation.

For color correction or compensation, a degradation model might not be directly needed. An inverse version of the degradation model might be used for color correction purposes. A compensation model can preferably include the inverse version of the degradation model with or without the degradation model.

To correct or compensate color degradation of a test sample, an inverse transformation can be applied to a downloaded known test sample, which is also formulated in Equation (2). Equation (2) means that the known test sample (sample with corrected colors) can be obtained by applying the inverse transformation to the downloaded known test sample (color degraded sample). Similar to the degradation model, the polynomial coefficients can be computed for the inverse transformation if the preferred mathematical method is used. The only difference is that the image (B in Equation (1) and A in Equation (2)) and the original image (A in Equation (1) and B in Equation (2)) of the gamut mapping process are reversed between the two cases (Equations (1) and (2)): degradation model and its inverse version (correction model).

For illustrative purposes, thedisplay system 100 provides color correction or compensation. It is understood that thedisplay system 100 may also provide correction, compensation, or improvement of other display elements or display parameters such as aspect ratio, scale, smoothness resolution, frame rate, or combination thereof.

It has been discovered that thedisplay system 100 provides a compensation model, including a degradation model, a correction model, or combination thereof, for specific remote devices based on a known test sample, which enables correction and improvement of any images or videos from a specificremote device 106.

Further, it has been discovered that the gamut of the known test sample of thegraphics 204 on thedisplay interface 202 of thefirst device 102 can be compared to the gamut of the degraded test sample of thegraphics 214 on thedisplay interface 202 of thefirst device 102 to provide the correction and improvement for images or video from the specificremote device 106.

Yet further, it has been discovered that other downloaded samples have the same or similar degradation characteristics as the known test samples. Therefore, thedisplay system 100 can have the proper correction mechanism for various downloaded samples of images or video.

Thedisplay system 100 has been described with module functions or order as an example. Thedisplay system 100 can partition the modules differently or order the modules differently. For example, the gamut of thegraphics 204 of FIG. 2 on thefirst device 102 of FIG. 1 may be measured after the gamut of thegraphics 214 of FIG. 2 on thesecond device 106 of FIG. 1. Thesecond display 212 of FIG. 2 may not be integral to thesecond device 106.

The modules described in this application can be hardware implementation or hardware accelerators in thefirst control unit 312 of FIG. 3 or in thesecond control unit 334 of FIG. 3. The modules can also be hardware implementation or hardware accelerators within thefirst device 102 or thesecond device 106 but outside of thefirst control unit 312 or thesecond control unit 334, respectively.

The physical transformation from the compensation model, including a degradation model, a correction model, or combination thereof, results in the movement in the physical world, such as correction or improvement in displaying the

graphics

204 or 214. Movement in the physical world results in changes to the images or video by color or chromaticity changes as perceived by user eyes.

Referring now to FIG. 5, therein is shown a flow chart of amethod 500 of operation of adisplay system 100 in a further embodiment of the present invention. Themethod 500 includes: sending a known test sample in ablock 502; retrieving the known test sample in ablock 504; comparing the known test sample and the retrieved known test sample in ablock 506; generating a compensation model based on the comparison for correcting the retrieved known test sample in ablock 508; and providing the compensation model for displaying a corrected display on a device in ablock 510.

The resulting method, process, apparatus, device, product, and/or system is straightforward, cost-effective, uncomplicated, highly versatile, accurate, sensitive, and effective, and can be implemented by adapting known components for ready, efficient, and economical manufacturing, application, and utilization. Another important aspect of the present invention is that it valuably supports and services the historical trend of reducing costs, simplifying systems, and increasing performance of information technology and consumer electronic products.

These and other valuable aspects of the present invention consequently further the state of the technology to at least the next level.

While the invention has been described in conjunction with a specific best mode, it is to be understood that many alternatives, modifications, and variations will be apparent to those skilled in the art in light of the foregoing description. Accordingly, it is intended to embrace all such alternatives, modifications, and variations that fall within the scope of the included claims. All matters set forth herein or shown in the accompanying drawings are to be interpreted in an illustrative and non-limiting sense.

Claims

A method of operation of a display system comprising:
sending a known test sample;
retrieving the known test sample;
comparing, with a control unit, the known test sample and the retrieved known test sample;
generating a compensation model based on the comparison for correcting the retrieved known test sample; and
providing the compensation model for displaying a corrected display on a device.
The method as claimed in claim 1 wherein sending the known test includes sending the known test sample for storing the known test sample on a web server.
The method as claimed in claim 1 wherein generating the compensation model includes generating a model based on spatial transformation.
The method as claimed in claim 1 wherein generating the compensation model includes generating a model based on inverse spatial transformation.
The method as claimed in claim 1 wherein providing the compensation model includes providing Color Degradation Model Metadata.
A method of operation of a display system comprising:
sending a known test sample having a gamut;
retrieving the known test sample having a degraded gamut;
comparing, with a control unit, the gamut of the known test sample and the degraded gamut of the retrieved known test sample;
generating a compensation model based on the comparison for correcting the retrieved known test sample; and
providing the compensation model for displaying a corrected display on a device.
The method as claimed in claim 6 wherein sending the known test sample includes sending the known test sample having colors that uniformly cover an available gamut range.
The method as claimed in claim 6 wherein generating the compensation model includes generating a model based on a two-dimensional spatial transformation.
The method as claimed in claim 6 wherein generating the compensation model includes generating a model based on inverse spatial transformation with a reverse order of the known test sample and retrieved known test sample.
The method as claimed in claim 6 wherein providing the compensation model includes providing Color Degradation Model Metadata for storage on a model server.
A display system comprising:
a communication unit configured to send a known test sample and configured to retrieve the known test sample;
a control unit, coupled to the communication unit, configured to compare the known test sample and the retrieved known test sample, and configured to generate a compensation model based on the comparison for correcting the retrieved known test sample; and
a storage unit, coupled to the control unit, configured to provide the compensation model for displaying a corrected display on a device.
The system as claimed in claim 11 wherein the communication unit configured to send the known test sample includes the communication unit configured to send the known test sample for storing on a web server.
The system as claimed in claim 11 wherein the control unit configured to generate the compensation model includes the control unit configured to generate a model based on spatial transformation.
The system as claimed in claim 11 wherein the control unit configured to generate the compensation model includes the control unit configured to generate a model based on inverse spatial transformation.
The system as claimed in claim 11 wherein the storage unit configured to provide the compensation model includes the storage unit configured to provide Color Degradation Model Metadata.