Image Processing Sub-Pixel Adjustment for Display Resolution
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Solution Overview
Problem
As display technology advances to meet high resolution, high brightness, and low-power consumption demands, the increasing number of sub-pixels on display panels raises manufacturing costs and requires improved image processing methods to maintain display quality.
Innovation Solution
An image processing method that performs dynamic brightness control, texture analysis, color conversion with edge protection, and sub-pixel adjustment to optimize image rendering on display panels, utilizing a processor unit to determine brightness gain, filter indexes, and poly-phase filters for sub-pixel up-scaling and down-sampling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of sub-pixels on the display panel is increased to achieve high resolution, then the visual resolution is improved, but the manufacturing cost is increased
Solution Approach 1:
The patent uses sub-pixel rendering technology to create virtual sub-pixels through image processing algorithms. Instead of physically increasing the number of sub-pixels on the display panel, the system processes images to simulate additional sub-pixels, thereby achieving high visual resolution without increasing manufacturing costs. The image processing apparatus generates enhanced resolution images by interpolating and rendering sub-pixel information computationally.
2Measurement precision
If the size of sub-pixel is reduced to increase resolution, then the visual resolution is improved, but the transmittance of the display panel is reduced
Solution Approach 1:
The patent employs dynamic brightness control as part of the image processing pipeline. The system analyzes image content and dynamically adjusts brightness parameters to compensate for the reduced transmittance caused by smaller sub-pixel sizes. This allows the display to maintain adequate brightness levels while using smaller sub-pixels for higher resolution.
3Measurement precision
If dynamic brightness control and color conversion with edge protection are performed, then the image display quality is improved, but the processing complexity is increased
Solution Approach 1:
The patent performs texture analysis and determines filter indexes before executing color conversion and sub-pixel adjustment operations. By pre-analyzing the input image to identify edges and texture characteristics, the system can apply appropriate filtering and protection strategies in advance, which simplifies the subsequent processing steps and reduces overall computational complexity despite the multiple processing stages involved.
Data Source
AI summary
An image processing method is provided. The image processing method includes: performing dynamic brightness control on an input image to determine a brightness gain for the input image; performing texture analysis on the input image based on blocks to determine filter indexes for the input image; performing color conversion with edge protection on the input image according to the brightness gain; and performing sub-pixel adjustment on the input image according to the filter indexes and a pixel arrangement of a display panel, so as to output an output image. An image processing apparatus is also provided.


