Image Saturation Expansion in LCH Space Without Hue Shift
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Solution Overview
Problem
Existing image processing technologies fail to enhance color saturation effectively while maintaining hue and brightness, leading to suboptimal user viewing experiences, especially with displays having higher color gamuts.
Innovation Solution
A method and device that convert image data through RGB to LCH color spaces using intermediate XYZ spaces, applying Bézier curves for non-linear saturation expansion based on preset thresholds, followed by gamma correction to achieve vivid image enhancement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If color saturation is enhanced using conventional methods, then color vividness is improved, but hue and brightness are altered
Solution Approach 1:
The patent segments the color enhancement process into independent channels: hue channel, saturation channel, and brightness channel. By processing each channel separately in the LCH color space, the method enhances saturation without affecting hue and brightness, resolving the contradiction between color vividness and color consistency.
Solution Approach 2:
The patent introduces an intermediary color space transformation (RGB → XYZ → LCH) as a mediator to separate color components. This intermediary transformation allows independent manipulation of saturation while preserving hue and brightness information, enabling precise control over color enhancement.
2Productivity
If color saturation is enhanced to improve viewing experience, then image vividness increases, but existing color gamut limitations are exposed
Solution Approach 1:
The patent dynamically adjusts saturation enhancement based on the input image characteristics and display capabilities. By analyzing the color distribution and adapting the enhancement strength accordingly, the system optimizes viewing experience while remaining compatible with different color gamuts.
Solution Approach 2:
The patent changes the parameter space from conventional RGB to LCH color space, where saturation can be independently adjusted without affecting hue and brightness. This parameter transformation enables flexible adaptation to different display color gamuts while maintaining consistent color perception.
3Quantity of substance
If conventional saturation enhancement is applied, then color intensity increases, but image quality degradation occurs
Solution Approach 1:
The patent applies local quality enhancement by processing different regions of the color spectrum differently. In the LCH color space, it selectively enhances saturation in specific hue ranges while preserving others, maintaining image quality while increasing overall color intensity.
Solution Approach 2:
The patent incorporates feedback mechanisms to monitor image quality during saturation enhancement. By continuously evaluating color distribution and image characteristics, the system adjusts enhancement parameters to prevent quality degradation while maximizing color intensity improvement.
Data Source
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AI summary
Disclosed is a saturation enhancement method, the method comprising: performing color space conversion on an input image to obtain color data of color conversion; performing saturation expansion on the color data of the color conversion to obtain expanded color data; and performing Gamma preprocessing on the expanded color data to obtain processed color data. Also disclosed are a saturation enhancement device and a computer readable storage medium.