Dynamic Range Expansion for Electronic Displays Using Color Segmentation
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Solution Overview
Problem
Existing electronic apparatuses fail to adequately expand the dynamic range of images, particularly when images contain black or white components, resulting in insufficient improvement in image quality due to limited adjustment of maximum and minimum histogram values based on brightness information.
Innovation Solution
An electronic apparatus and method that determine representative colors in an image frame, calculate dynamic ranges for these colors based on brightness and display characteristics, and expand the dynamic range by applying gain values weighted by color characteristics and user preferences, allowing for adjusted brightness output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the dynamic range is expanded by adjusting maximum and minimum histogram values based on brightness information, then the dynamic range is expanded, but the image quality improvement is insufficient when images contain black or white components
Solution Approach 1:
The patent segments the dynamic range expansion process by color type. It separately determines representative colors (chromatic colors) and neutral colors, then applies different dynamic range expansion strategies to each group. This segmentation allows the system to avoid the limitation of treating all pixels uniformly, thereby improving image quality while expanding dynamic range even when black or white components are present.
Solution Approach 2:
The patent applies local quality by treating different color regions differently. Instead of applying a single dynamic range expansion method to the entire image, it identifies specific representative colors and applies localized expansion based on color characteristics. This allows optimized processing for chromatic versus neutral regions, resolving the contradiction between expanding dynamic range and maintaining image quality.
2Device complexity
If the dynamic range is expanded using a single method for all colors, then the processing is simple, but the image quality improvement is insufficient
Solution Approach 1:
The patent segments color processing into distinct categories (chromatic colors and neutral colors) and applies different dynamic range expansion methods to each segment. This segmentation increases processing complexity slightly but significantly improves image quality by allowing color-specific optimization, resolving the contradiction between simplicity and quality improvement.
Solution Approach 2:
The patent implements local quality by applying different processing strategies to different color regions. Chromatic colors receive one type of dynamic range expansion while neutral colors receive another, allowing each region to be optimized for its specific characteristics. This localized approach improves overall image quality while maintaining reasonable processing complexity through systematic classification.
Data Source
AI summary
A method for controlling an electronic apparatus includes determining representative colors of pixels of a received image frame; calculating input dynamic ranges for respective representative colors based on brightness information of the received image frame; expanding a dynamic range for the representative colors based on at least one of the brightness information of the received image frame and display characteristics of the electronic apparatus; and outputting an image frame having adjusted brightness based on the expanded dynamic range.