Image Brightness Histogram Redistribution for Dynamic Range Control
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Solution Overview
Problem
Existing video processing technologies struggle to effectively adjust and enhance the dynamic range of video signals without causing excessive flattening or loss of image detail.
Innovation Solution
An information processing apparatus and method that includes a first processing unit to define an image as a single entity, identify a brightness histogram, and a third processing unit to adjust the histogram by subtracting a peak portion and redistributing values to lower areas, using a learned model to predict optimal adjustment parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If histogram equalization is applied to expand dynamic range, then brightness distribution is improved, but image detail is lost due to excessive flattening
Solution Approach 1:
The patent applies different processing strategies to different regions of the histogram. Instead of uniformly equalizing the entire histogram, it identifies and processes specific regions (peak portions) differently from others, preserving local image characteristics while improving overall dynamic range. This is achieved by detecting peak portions in the histogram and applying selective redistribution only to those regions.
Solution Approach 2:
The histogram processing is segmented into distinct operations: identifying peak portions, calculating adjustment amounts for those peaks, and redistributing only the peak portions to lower brightness areas. This segmentation allows the patent to avoid the excessive flattening that occurs when the entire histogram is uniformly equalized, thereby preserving image detail.
2Illumination intensity
If histogram equalization is applied to enhance contrast, then dynamic range is expanded, but excessive flattening occurs
Solution Approach 1:
The patent maintains histogram distribution stability by applying local quality adjustment only to peak portions rather than uniformly across the entire histogram. This selective approach enhances contrast where needed (in peak regions) while preserving the overall histogram structure and avoiding excessive flattening that would destabilize the distribution.
Solution Approach 2:
Instead of applying full histogram equalization to the entire distribution, the patent applies partial action by targeting only the peak portions for redistribution. This partial approach achieves sufficient contrast enhancement in problematic regions without causing the excessive flattening that would result from complete histogram equalization.
Data Source
AI summary
An information processing apparatus including a first processing unit configured to define an entirety indicated by multiple pixels as a single image, and identify a first histogram that is a histogram of brightness in the image; a second processing unit configured to set an adjustment amount in the first histogram; and a third processing unit configured to subtract, from the first histogram, a portion near a peak of the first histogram, based on the adjustment amount, and shift a histogram corresponding to the portion to an area of the first histogram at which the peak is at least relatively low to generate a second histogram.