Image Processing Apparatus Intensity Centralization Adjustment
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Solution Overview
Problem
Images processed using histogram equalization often suffer from quantization, leading to discontinuities in intensity values and low contrast ratios, particularly in poor lighting conditions, which existing post-processing technologies fail to adequately address.
Innovation Solution
An image processing apparatus and method that calculates a centralization degree of intensity values based on statistical information, adjusting pixels with high centralization degrees using adjustment values derived from neighboring pixel intensities to redistribute intensity values, thereby reducing quantization and enhancing contrast.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If histogram equalization processing is applied to improve contrast ratio, then the contrast ratio is improved, but histogram quantization (discontinuity of intensities) is caused
Solution Approach 1:
The patent applies parameter changes by modifying intensity values of pixels based on their centralization degree and neighboring pixel intensities. Instead of directly applying histogram equalization that causes quantization, the patent adjusts intensity parameters incrementally based on statistical analysis of intensity distribution, thereby improving contrast while maintaining intensity continuity.
Solution Approach 2:
The patent employs feedback mechanisms by calculating centralization degree of intensity values and using this information to guide further adjustments. The process continuously evaluates the effect of adjustments on intensity distribution and refines parameters accordingly, preventing the formation of quantization artifacts while maintaining improved contrast.
2Illumination intensity
If histogram equalization is used to process low contrast images, then contrast is enhanced, but the natural appearance is degraded due to quantization
Solution Approach 1:
The patent applies local quality by treating different intensity values differently based on their centralization degree. Pixels with intensity values having high centralization degree (indicating quantization issues) are adjusted more aggressively, while other pixels are preserved. This selective local adjustment maintains natural appearance in regions not affected by quantization while correcting problematic areas.
Solution Approach 2:
The patent dynamically changes intensity parameters based on calculated centralization degrees. By adjusting only those intensity values that exhibit quantization characteristics (high centralization degree), the patent preserves the natural appearance of the image while still enhancing contrast in the affected regions.
Data Source
AI summary
An image processing apparatus and an image processing method are provided. A storage unit of the image processing apparatus stores an image and a piece of intensity statistical information of the image. The piece of intensity statistical information records that the image has a first number of pixels having a first intensity value, a second number of pixels having a second intensity value, and a third number of pixels having a third intensity value. A micro-processing unit of the image processing unit calculates a centralization degree of the second intensity value in the image according to the first number, the second number, and the third number. If the centralization degree is greater than a threshold, the micro-processing unit adjusts the intensity value of a pixel having the second intensity value in the image according to the second intensity value and the intensity value of the at least one neighboring pixel of the pixel.