Image Brightness Adjustment via Histogram Segmentation
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Solution Overview
Problem
Existing image processing technologies struggle to effectively adjust the brightness of specific areas in images, particularly low-brightness regions, leading to difficulties in distinguishing light and shade, and resulting in image degradation when the entire image brightness is increased.
Innovation Solution
A method and apparatus that detect number distribution information of pixel brightness, adjust the brightness of specific areas using characteristic values based on distribution characteristics, and perform contrast and brightness adjustments using threshold values and equations to preserve image quality in both high and low-brightness areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the brightness of the entire image is increased, then the brightness of the low-brightness area is improved, but the brightness of the high-brightness area increases excessively causing white-out and loss of image recognition
Solution Approach 1:
The patent divides the image into multiple brightness regions (low-brightness area, middle-brightness area, high-brightness area) based on histogram analysis. Different brightness adjustment parameters are applied to each region independently, allowing the low-brightness area to be enhanced without over-brightening the already bright areas, thus preventing white-out and preserving image recognition quality.
Solution Approach 2:
The patent applies different brightness adjustment characteristics to different spatial regions of the image. Specifically, the low-brightness region receives a larger brightness adjustment coefficient while the high-brightness region receives a smaller coefficient or no adjustment, creating locally optimized quality across the image rather than uniform adjustment.
2Loss of information
If the brightness of the entire image is increased, then the visibility of dark areas is improved, but the overall image quality degrades due to loss of detail in bright areas
Solution Approach 1:
The patent segments the brightness distribution into distinct regions using histogram analysis. By identifying the low-brightness region boundaries through statistical analysis of pixel brightness distribution, the system can selectively enhance only the dark areas where information loss occurs, while leaving the bright areas unchanged to preserve their detail and quality.
Solution Approach 2:
The patent applies brightness adjustment selectively and partially - only to the extent necessary for each region. The adjustment coefficient is determined based on the specific brightness characteristics of each region, applying just enough enhancement to recover dark area visibility without excessive adjustment that would cause bright area degradation.
Data Source
AI summary
A method and apparatus for adjusting brightness of an image are provided, in which number distribution information of pixel brightness is detected, and the brightness of a specific area of the image is adjusted using characteristic values according to a distribution characteristic of the detected number distribution information. Accordingly, a decrease in an image recognition characteristic of a human being is compensated for in a specific area, such as, low-brightness area, of an image.