Image Brightness Mapping for Dynamic Range Without Display Distortion
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Solution Overview
Problem
Existing image display technologies increase brightness uniformly, leading to distortion and visual fatigue due to mismatch with actual photographing scenarios, compromising the dynamic range and vividness of displayed images.
Innovation Solution
An image processing method that adjusts pixel brightness using gain coefficients based on detected display operations, distinguishing between pixels below and above a threshold to enhance contrast and expand the dynamic range, aligning with actual lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the brightness of the display screen is increased uniformly, then the dynamic range of image display is expanded, but the image brightness is distorted and all pixels are increased by the same multiple which is inconsistent with actual photographing scenario
Solution Approach 1:
The patent applies local quality by differentiating pixel brightness adjustment based on local brightness characteristics. Pixels are divided into two groups: those below the first threshold (dark regions) and those above or equal to the first threshold (bright regions). The first gain coefficient adjusts dark pixels while the second gain coefficient adjusts bright pixels, allowing different parts of the image to have different brightness adjustment properties that match the actual photographing scenario.
Solution Approach 2:
The patent changes the brightness parameter selectively for different pixel regions. By introducing two different gain coefficients (first gain coefficient for dark pixels, second gain coefficient for bright pixels), the system transforms the uniform brightness adjustment into a differentiated parameter adjustment, where the brightness multiplication factor varies according to the pixel's brightness level and the photographing scenario.
2Illumination intensity
If the brightness of the display screen is increased uniformly, then the dynamic range is expanded, but the image becomes excessively bright and users are prone to visual fatigue
Solution Approach 1:
The patent prevents visual fatigue by applying different brightness adjustment strategies to different regions. Dark pixels (below first threshold) are adjusted with the first gain coefficient to maintain appropriate contrast, while bright pixels (above or equal to first threshold) are adjusted with the second gain coefficient to avoid excessive brightness. This localized adjustment ensures that no region becomes excessively bright, thereby reducing visual fatigue.
3Illumination intensity
If the brightness of all pixels is increased by the same multiple, then the display screen brightness is increased, but the light and shade contrast is reduced and the image is distorted
Solution Approach 1:
The patent preserves the correct brightness distribution shape by applying local quality adjustment. The first gain coefficient is applied to pixels below the first threshold to maintain dark region characteristics, while the second gain coefficient is applied to pixels above or equal to the first threshold to maintain bright region characteristics. This ensures that the relative brightness relationships and light-shade contrast are preserved, preventing image distortion.
Data Source
AI summary
This application relates to image processing and provides a method and electronic device. The method includes: capturing a to-be-displayed image; detecting a display operation on the image; obtaining brightness channel data in response; acquiring a pixel brightness value based on the channel data; determining a target brightness value based on a current screen brightness and a first brightness value; selecting a first or second gain coefficient according to the pixel brightness value to process the pixel and generate a processed image; and adjusting the display screen to the target brightness value to display the processed image. This solution avoids image brightness distortion and expands the dynamic range, making the displayed image more vivid and closer to actual scenarios.