Complementary Hue Conversion for Image Quality
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Solution Overview
Problem
Conventional hue conversion methods for images only consider the conversion of a single hue and do not account for the relationships between hues, limiting their ability to enhance image quality by optimizing complementary hues.
Innovation Solution
A method and apparatus that extract color information from pixels, determine the presence of pixels in predefined color gamuts, and convert hues of complementary pixels into their respective optimum points within those gamuts, utilizing complementary color contrast to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional hue conversion methods convert only a single hue, then the conversion process is simple, but the image quality improvement is limited because relationships between hues are not considered
Solution Approach 1:
The patent merges multiple hue conversions by identifying complementary hue relationships between different pixel groups. Instead of converting hues independently, the system combines conversion operations for pixels with first hues and pixels with second hues that are complementary to each other, thereby improving image quality through coordinated hue adjustments while managing complexity through systematic organization of the conversion process
Solution Approach 2:
The patent changes the hue parameters of pixels by converting first hues to first optimum hues and second hues to second optimum hues based on complementary relationships. This parameter transformation approach allows the system to optimize multiple hue dimensions simultaneously, improving overall image quality by adjusting hue values according to established complementary color theory principles
2Manufacturing precision
If hue conversion is performed on all pixels, then image quality may be improved, but color gamut boundaries may be violated and colors may become unnatural
Solution Approach 1:
The patent applies local quality by performing hue conversion selectively on specific pixel groups rather than uniformly on all pixels. The system identifies pixels with first hues and pixels with second hues that are complementary to each other, and applies conversion only to these identified groups. This localized approach ensures that color gamut boundaries are respected while still achieving image quality improvement in the relevant regions
Solution Approach 2:
The patent incorporates feedback mechanisms by determining whether converted hues satisfy predefined conditions related to color gamut boundaries. The system checks if first optimum hues and second optimum hues meet specific criteria, and only performs conversions that maintain color naturalness and compliance. This feedback loop ensures reliable color gamut adherence while achieving quality improvement
Data Source
AI summary
A method and apparatus for enhancing the quality of images using complementary color contrast are provided. The method includes (a) extracting color information of each of a plurality of pixels of an input image, (b) determining whether the input image includes both a first pixel belonging to a first group and a second pixel belonging to a second group with reference to the extracted color information, (c) converting a first hue of the first pixel into an optimum point of the first group, and (d) converting a second hue of the second pixel into an optimum point of the second group, wherein the first hue corresponding to the optimum point of the first group and the second hue corresponding to the optimum point of the second group are complementary to each other.