Pixel-by-Pixel Gamma Correction Mixing for Smooth Color-Grayscale Transitions
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Solution Overview
Problem
Existing gamma correction technologies for images, particularly those involving DICOMGSDF, often result in unnatural steps at boundaries between color and monochrome areas, especially in complex layouts or overlapping windows, due to difficulties in accurately discriminating between these areas.
Innovation Solution
An image correction device and method that perform gamma correction for both color and monochrome areas on a pixel-by-pixel basis, mixing the corrected values based on pixel-by-pixel saturation values to prevent unnatural steps at boundaries, using a color gamma processing unit, a monochrome gamma processing unit, and a mixer to adjust the mixing ratio accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image segmentation is performed to discriminate between color areas and monochrome areas, then gamma correction can be applied selectively to each area, but unnatural steps occur at boundaries between areas in complicated layouts
Solution Approach 1:
The patent changes the parameter from binary classification (color/monochrome) to continuous saturation values (512 grades). By using saturation degree as a continuous parameter, the system can smoothly transition between color and monochrome correction modes, eliminating abrupt boundary effects while maintaining accurate discrimination through the saturation threshold.
2Manufacturing precision
If 2.2 gamma correction is applied to color areas and GSDF correction to monochrome areas, then proper display is achieved for each area type, but saturation decrease and hue shifts occur in low-bit images
Solution Approach 1:
The patent applies different gamma correction characteristics to different regions based on local saturation properties. By evaluating saturation on a pixel-by-pixel basis and applying weighted correction, the system preserves color information in saturated regions while applying GSDF correction in desaturated regions, thus maintaining local quality appropriate to each area.
Solution Approach 2:
The patent creates a composite correction approach by combining 2.2 gamma correction and GSDF correction with weighted mixing. The final corrected value is a composite of both correction methods, weighted by saturation degree, allowing the system to leverage the advantages of both correction types while minimizing their individual drawbacks.
3Ease of operation
If clear segmentation between color and monochrome areas is performed, then area discrimination becomes easy, but it becomes difficult to discriminate areas in complicated layouts with overlapping windows
Solution Approach 1:
The patent enables the image data itself to provide the discrimination information through its saturation properties. By calculating saturation from the RGB values already present in the image, the system uses the image's own characteristics to guide the correction process, eliminating the need for external segmentation masks or complex layout analysis.
Data Source
AI summary
A color gamma processing unit subjects an input image to gamma correction for color on a pixel by pixel basis. A GSDF processing unit subjects the input image to gamma correction for monochrome on a pixel by pixel basis. A mixer mixes a gamma corrected value for color provided by the color gamma processing unit with a gamma corrected value for monochrome provided by the GSDF processing unit at a mixing ratio based on a pixel-by-pixel saturation value of the input image, and outputs a gamma corrected value of a pixel in the input image.