Image Processing Apparatus Luminance Weighting Dark Region Noise
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Solution Overview
Problem
Image processing technologies often result in unnatural images when attempting to match the quality of a processing target image to a sample image, especially when the target image has many dark pixels, leading to defects like noise or halation.
Innovation Solution
An image processing apparatus that extracts feature values from both the sample and processing target images, using luminance components as weights to adjust pixel values, ensuring the processed image maintains a natural appearance by emphasizing non-dark areas and minimizing changes in dark areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed to match the image quality of the processing target image to the sample image, then the impression matching is improved, but the image becomes unnatural when there are many dark pixels
Solution Approach 1:
The patent applies local quality by differentiating processing between dark regions and non-dark regions. It extracts dark region pixels based on luminance thresholds and applies different adjustment strategies: dark region pixels are excluded from certain adjustments to prevent noise and halation, while non-dark region pixels undergo full adjustment to achieve impression matching. This localized processing resolves the contradiction by preserving naturalness in dark areas while maintaining matching accuracy in visible areas.
2Manufacturing precision
If adjustment is applied uniformly across all pixels to match sample image quality, then the overall image quality matching is improved, but dark regions become unnatural due to excessive adjustment
Solution Approach 1:
The patent segments the image into dark region pixels and non-dark region pixels based on luminance component thresholds. This segmentation allows differential processing: dark region pixels are identified and excluded from adjustments that would cause noise and halation, while non-dark region pixels receive full adjustment treatment. The segmentation resolves the contradiction by applying precision matching only where it produces beneficial results.
Solution Approach 2:
The patent converts the harmful effect of uniform adjustment on dark pixels into a benefit by using luminance-based segmentation. The very darkness that causes noise and halation when adjusted uniformly becomes the basis for identifying pixels that should be excluded from certain adjustments. This approach transforms the problem of dark pixel sensitivity into a useful classification mechanism for preserving image naturalness.
Data Source
AI summary
An image processing apparatus includes a processor configured to extract a component related to luminance of each of a sample image and a processing target image that is to undergo image processing to match an impression of the processing target image to the sample image, extract feature values of the processing target image and the sample image by attaching to a pixel value of each pixel forming the processing target image and the sample image a weight responsive to the component related to the luminance, and make adjustment to match the feature value of the processing target image to the feature value of the sample image.