Image Processing Apparatus Color Gamut Conversion
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Solution Overview
Problem
Existing image processing methods fail to maintain image quality when displayed on various devices, particularly organic light-emitting display devices with wider color gamuts, leading to color inconsistencies and distortions, especially under low illuminance conditions.
Innovation Solution
An image processing method and apparatus that convert the color reproduction target of an input image to match the color gamut of the target display device, including saturation adjustment, skin color exclusion, gray region handling, and low illuminance-sensitive color correction, to generate an image file that enhances display quality on devices with wider color gamuts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the color reproduction target of an input image is converted according to a wider color gamut of a target display device, then the display quality and color richness are improved, but color distortion occurs in certain regions such as skin tones and gray areas
Solution Approach 1:
The patent applies local quality by differentiating processing for different regions of the image. Skin color regions and gray regions are identified and excluded from saturation enhancement processing, while other regions receive full color gamut conversion. This selective approach allows the system to improve overall color richness while protecting specific regions from distortion, directly resolving the contradiction between color reproduction accuracy and color distortion.
Solution Approach 2:
The image is segmented into different regions based on color characteristics. The system divides the image into skin color regions, gray regions, and other regions, applying different processing strategies to each segment. This segmentation enables precise control over color conversion, improving display quality while preventing distortion in sensitive regions.
2Manufacturing precision
If saturation component is increased to utilize wide color gamut, then color richness is improved, but skin tones and gray regions become distorted
Solution Approach 1:
The system applies different saturation enhancement strategies to different regions. Skin color regions and gray regions are excluded from saturation increases, while other regions receive enhanced saturation to utilize the wide color gamut. This local differentiation maintains color consistency in sensitive regions while achieving color richness in appropriate regions.
Solution Approach 2:
The system performs preliminary identification and exclusion of skin color regions and gray regions before applying saturation enhancement. By pre-segmenting these sensitive regions and marking them for exclusion, the system ensures that subsequent saturation processing does not affect these areas, maintaining color consistency while enhancing overall image quality.
3Manufacturing precision
If color conversion is applied to all regions, then overall display quality is improved, but processing complexity increases
Solution Approach 1:
The system segments the image based on color characteristics to identify skin color regions and gray regions. This segmentation enables selective processing, applying color conversion only to appropriate regions rather than all regions uniformly. The segmentation process, while adding a step, simplifies subsequent processing by clearly defining which areas require enhancement and which should be protected.
Solution Approach 2:
The system applies color conversion with locally differentiated quality settings. By identifying sensitive regions and applying different processing parameters or excluding them from certain operations, the system achieves high display quality in appropriate regions while maintaining natural appearance in sensitive regions, optimizing the overall processing efficiency.
Data Source
AI summary
An image processing method is provided. The image processing method includes: converting a color reproduction target of an input image according to a color gamut of a target display device; generating a file of the input image of which the color reproduction target is converted; and storing the file of the input image.