Image Processing Apparatus Chrominance Adjustment for Cross-Color Reduction
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Solution Overview
Problem
Conventional TV systems face challenges in accurately restoring luminance and chrominance components of images with high frequency luminance, leading to cross-color phenomena, especially when dealing with moving objects, resulting in image defects and increased chrominance errors.
Innovation Solution
An image processing apparatus and method that includes an image decoding unit and an image adjusting unit, which determine edge luminance and chrominance parameters to calculate adjusted chrominance values using weighted calculations based on edge luminance, chrominance, motion, and saturation parameters, thereby reducing cross-color effects and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional Y/C separation filter is used to restore luminance and chrominance components, then the TV signal can be processed, but high frequency luminance components are mistakenly treated as chrominance components causing cross-color phenomenon
Solution Approach 1:
The patent segments the chrominance adjustment process into multiple stages: first calculating edge luminance parameters to identify high-frequency luminance regions, then calculating edge chrominance parameters to detect cross-color areas, and finally applying selective chrominance adjustment only in identified cross-color regions. This segmentation allows the system to distinguish between genuine chrominance signals and false chrominance caused by high-frequency luminance, thereby eliminating cross-color while preserving accurate chrominance elsewhere.
Solution Approach 2:
The patent applies local quality by adjusting chrominance parameters selectively in different image regions. Specifically, it calculates a chrominance adjustment value based on edge chrominance parameters only in regions where cross-color is detected, while leaving other regions unchanged. This localized adjustment ensures that cross-color is corrected without affecting the overall image quality or introducing artifacts in non-cross-color areas.
2Object-generated harmful factors
If average chrominance value calculation is used for consecutive static frames, then cross-color can be overcome for static images, but greater chrominance errors occur when moving objects with high frequency luminance are present
Solution Approach 1:
The patent transitions from a static frame-averaging approach to a dynamic approach that adapts to motion. It introduces motion detection by comparing current frame with previous frame, calculates motion vectors to identify moving objects, and then applies chrominance adjustment selectively based on both motion information and edge chrominance parameters. This dynamic adaptation allows the system to maintain chrominance accuracy for moving objects while still correcting cross-color effects.
Solution Approach 2:
The patent implements feedback mechanisms by using calculated edge chrominance parameters and motion information to continuously adjust chrominance values. The system calculates chrominance adjustment values based on feedback from edge detection and motion analysis, then applies these adjustments and continues monitoring for further corrections. This closed-loop feedback ensures that chrominance accuracy is maintained dynamically as objects move through the scene.
3Object-generated harmful factors
If chrominance adjustment is applied to correct cross-color, then cross-color phenomenon is reduced, but saturation and over-brightness issues may be introduced in non-cross-color areas
Solution Approach 1:
The patent applies local quality by restricting chrominance adjustment to specific regions where cross-color is detected through edge chrominance parameter calculation. The system determines a chrominance adjustment value and applies it only in regions identified as having cross-color, while leaving saturation and brightness in other regions unchanged. This selective regional adjustment eliminates cross-color without introducing saturation or over-brightness artifacts in non-cross-color areas.
Solution Approach 2:
The patent introduces edge chrominance parameters as an intermediary mechanism to mediate between cross-color correction and saturation preservation. The edge chrominance parameters serve as a diagnostic tool to identify where adjustment is needed, acting as a gatekeeper that prevents unnecessary chrominance modification in regions where it would cause saturation or over-brightness. This intermediary approach ensures adjustments are made only where beneficial.
Data Source
AI summary
An image processing apparatus includes an image decoding unit and an image adjusting unit. The image decoding unit decodes a data stream to generate a first image comprising a first pixel. The image adjusting unit comprises a pixel edge determining module and a chrominance adjusting module. The pixel edge determining module determines an edge luminance parameter according to an initial luminance value of the first pixel and a plurality of initial luminance values of pixels neighboring the first pixel, and determines an edge chrominance parameter according to an initial chrominance value of the first pixel and a plurality of initial chrominance values of pixels neighboring the first pixel. The first chrominance adjusting module determines a first weight according to the edge luminance parameter and the edge chrominance parameter, and generates a first adjusted chrominance value by weighted calculating a first predetermined chrominance value and the initial chrominance value of the first pixel.


