Adaptive Image Filtering for High Saturation Detail Preservation
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Solution Overview
Problem
Color images appear blurred in areas with high color saturation and many details, leading to a perceived loss of resolution or saturation, which affects their perceptual quality.
Innovation Solution
A method that uses a saturation detector to emphasize spatial details in areas with high color saturation and maintains or reduces emphasis in areas with low color saturation, employing a filter arrangement that amplifies differences in luminance and chrominance values based on detected saturation levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chromatic sampling is applied to reduce color information resolution, then data transmission efficiency is improved, but perceptual image quality deteriorates in high saturation areas
Solution Approach 1:
The patent applies different filtering strengths to different image regions based on local saturation characteristics. High-pass filtering is applied more strongly to luminance components in high saturation areas while chrominance components receive adaptive filtering, ensuring that perceptually critical regions maintain quality while overall data efficiency is improved.
Solution Approach 2:
The patent dynamically adjusts filtering parameters based on local saturation values. The filtering strength for chrominance components is modulated according to the saturation level of each region, allowing the system to adapt to local image characteristics and maintain perceptual quality where needed while preserving data efficiency elsewhere.
2Manufacturing precision
If high-pass filtering is applied to emphasize spatial details, then perceived sharpness is improved, but color saturation is lost in high saturation areas
Solution Approach 1:
The patent applies adaptive filtering that varies by local saturation level. In high saturation areas, the filtering is adjusted to preserve chrominance information while still enhancing luminance sharpness. This local differentiation allows simultaneous improvement of perceived sharpness and preservation of color saturation in critical regions.
Solution Approach 2:
The patent combines multiple filtered components (luminance and chrominance) with different filtering characteristics to create an enhanced output image. By compositing these selectively filtered components, the system achieves both sharpness enhancement and saturation preservation through the synergistic combination of processed signal components.
3Stability of the object's composition
If chrominance components are filtered to reduce noise, then image stability is improved, but spatial detail and sharpness deteriorate
Solution Approach 1:
The patent applies different filtering strengths to chrominance components based on local saturation characteristics. In high saturation areas where spatial details are perceptually more important, less aggressive filtering is applied to chrominance, preserving spatial detail while still providing noise reduction in less critical regions.
Solution Approach 2:
The patent uses dynamic filtering where the filtering characteristics of chrominance components are adjusted based on local image properties such as saturation and edge detection results. This dynamic adaptation allows the system to maintain spatial detail in regions where it matters most while providing noise reduction elsewhere, achieving both stability and sharpness.
Data Source
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AI summary
A color image is enhanced in the following fashion. A saturation detector (SDT) detects a degree of color saturation (LC, CC) that occurs in an image area (SP). A filter arrangement (DE1, DE2, DE3) filters at least one spatial detail in the image area to a degree that depends on the degree of color saturation. This allows an improvement of perceptual quality of color images.