OLED Brightness Transition Regions for HDR Boundary Smoothing
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Solution Overview
Problem
In OLED displays, sudden changes in brightness between high-brightness and low-brightness static image regions cause abrupt viewing experiences and adverse display effects due to abrupt brightness transitions in HDR images.
Innovation Solution
An image processing method that identifies and adjusts brightness transition regions between high-brightness and low-brightness areas by determining transition brightness values that gradually decrease or increase as they approach the boundary, smoothing the brightness transition and reducing residual images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If high-brightness and low-brightness regions are displayed with abrupt boundaries in HDR images, then brightness contrast is increased, but sudden brightness changes occur at boundaries causing abrupt viewing experience and adverse display effects
Solution Approach 1:
The patent applies local quality by making different parts of the image have different brightness characteristics. Specifically, transition regions are created with gradual brightness changes, while other regions maintain their original high or low brightness levels. This allows the image to have both high brightness contrast in main areas and smooth transitions at boundaries, resolving the contradiction between brightness contrast and abrupt boundary effects.
Solution Approach 2:
The patent introduces transition regions as intermediary zones between high-brightness and low-brightness regions. These transition regions act as mediators that gradually blend the brightness levels, preventing abrupt changes at boundaries while preserving the overall brightness contrast of the HDR image. The transition regions serve as a buffer zone that smooths the transition without compromising the high contrast in the main content areas.
2Object-affected harmful factors
If brightness transition regions are added to smooth boundaries, then abrupt brightness changes are reduced, but image processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image into distinct regions: high-brightness regions, low-brightness regions, and transition regions. This segmentation allows for targeted processing where transition regions are specifically identified and handled with gradual brightness adjustments, while other regions maintain their original characteristics. The segmentation approach simplifies the processing complexity by focusing computational efforts only on the boundary areas that require smoothing.
Solution Approach 2:
The patent applies partial action by applying brightness transition processing only to specific boundary regions rather than the entire image. This selective approach reduces processing complexity compared to applying global brightness adjustments, as computational resources are concentrated only on the transition zones where abrupt changes occur, leaving the rest of the image processing unchanged.
Data Source
AI summary
An image processing method and an image processing device, a display apparatus, and a non-volatile computer readable storage medium are provided. The method includes acquiring a first region and a second region adjacent to each other and having a common boundary in an image, a first brightness value of the first region being larger than a second brightness value of the second region; determining one or more brightness transition regions in the first region and/or the second region and at a side close to the boundary; determining one or more transition brightness values being smaller than or equal to the first brightness value and larger than or equal to the second brightness value; and setting brightness of each brightness transition region to be a corresponding transition brightness value.


