Electronic Paper Binary Image Optimization for Grid Texture Reduction
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Solution Overview
Problem
Electronic paper cannot display multi-grayscale videos due to material and driving limitations, resulting in poor image quality when using existing image processing algorithms.
Innovation Solution
A display control method that adjusts pixel values in an initial binary image to minimize the difference with an original image through an objective function, using a combination of structural similarity and error calculation to optimize the binary image, thereby improving image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing algorithms are used to achieve multi-grayscale display effect with two-grayscale electronic paper, then the display capability is improved, but the image quality deteriorates
Solution Approach 1:
The patent changes the parameter of pixel value adjustment through iterative optimization. Instead of using fixed dithering patterns, the algorithm iteratively adjusts pixel values in the binary image to minimize the difference with the original image, transforming the static dithering approach into a dynamic optimization process that adapts to the specific image content
Solution Approach 2:
The patent introduces feedback through the objective function that calculates the difference between the original image and the binary image. The algorithm uses this feedback information to guide the iterative adjustment of pixel values, continuously improving the binary image quality until convergence is achieved
2Ease of manufacture
If dither matrix is used to generate binary image, then the binary image can be obtained, but the obvious grid texture appears reducing image quality
Solution Approach 1:
The patent extracts and eliminates the harmful grid texture pattern from the binary image. By using iterative pixel value adjustment rather than fixed dithering patterns, the algorithm removes the artificial periodic structure that causes grid texture, leaving only the necessary binary information while eliminating the visual artifact
Solution Approach 2:
The patent applies local quality optimization by adjusting pixel values individually based on their local context and contribution to the overall image quality. Each pixel is optimized independently through the iterative process, allowing different regions of the image to have optimal local characteristics without being constrained by a global dithering pattern
Data Source
AI summary
Provided is a display control method, an electronic device and a storage medium. The display control method includes: obtaining an original image; (2) obtaining an initial binary image, where the initial binary image and the original image have the same quantity of pixels; (3) obtaining a function value of an objective function based on the original image and the initial binary image; and (4) adjusting a pixel value of a pixel in the initial binary image once, repeating step (2) and step (3) to minimize the function value until a preset iteration stop condition is met, and using a result output by a latest iteration as a final binary image. Technical solutions of the embodiments of the present disclosure solves the problem of obvious grid texture of single frame images in the processed images in the related art, and improves the quality of the processed single-frame image.