Adaptive Saturation Adjustment for Noise Reduction in Image Processing
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Solution Overview
Problem
Existing image saturation improvement techniques fail to effectively address noise-induced color degradation in images, particularly camera noise and MPEG compression noise, leading to more prominent color noise visibility.
Innovation Solution
A system and method with adaptive saturation adjustment that uses a combination of a first color converting unit, saturation component extracting unit, luminance value extracting unit, and saturation adjusting unit to modify saturation components based on average luminance and pixel luminance values, suppressing noise through direct proportion adjustment, thereby preventing image quality deterioration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If saturation improving techniques are applied to enhance image color, then image color quality is improved, but noise prominence increases
Solution Approach 1:
The patent applies different saturation adjustment strategies to different regions of the image based on local luminance characteristics. By analyzing luminance values at each pixel location and applying adaptive saturation factors, the system enhances color quality in appropriate regions while avoiding noise amplification in noisy regions, thus resolving the contradiction between color improvement and noise suppression
Solution Approach 2:
The patent dynamically changes saturation parameters based on luminance thresholds and noise characteristics. By adjusting the saturation factor according to local luminance values and detected noise levels, the system optimizes the balance between color enhancement and noise suppression, improving color quality without excessively amplifying noise
2Manufacturing precision
If adaptive saturation adjustment is applied to enhance image color, then image perception is improved, but device complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct stages: luminance extraction, noise detection, saturation factor calculation, and color space conversion. This segmentation allows each component to be optimized independently and simplifies the overall complex processing pipeline while maintaining improved image perception
Solution Approach 2:
The patent performs preliminary luminance extraction and noise detection before applying saturation adjustment. By preparing luminance maps and noise characteristics in advance, the system reduces the computational complexity of the main saturation adjustment process while achieving improved image perception
Data Source
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AI summary
A system, medium, and method with noise reducing adaptive saturation adjustment. The system with adaptive saturation adjustment includes a luminance value extracting unit extracting luminance values of an input image, and a saturation adjusting unit adjusting saturation components of the input image on the basis of the extracted luminance values.