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P‐10.7: A multi‐level error diffusion algorithm based on edge enhancement of color electrophoretic displays

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Electrophoretic display (EPD) has the same reflective and wide viewing angle characteristics as paper, and also has the advantages of low power consumption and bistab‐ility. At the same time, its eye protection characteri‐stics are deeply loved by the public, so that people have more ex‐pectations for color EPD, but there are still problems such as poor quality and jagged edges of the display image. Due to the limitation of the grayscale range caused by the driver chip and the driving mode of EPDs, when the 256‐level grayscale image on the PC is put on the EPD for display, the driving circuit system will compress the gra‐yscale. This results in a loss of detail, a step jump in the image, and a lack of clarity in the texture. In order to solve the above problems, a multi‐level error diffusion algorithm based on edge enhancement is proposed.The dataset KODIM was selected as the experimental object, compared with the traditional error diffusion algori‐thm, the image quality evaluation index PSNR is improved by 22.4%‐30.8%, and SSIM is closer to 1. And the EPD shows more image details, which brings a better visual experience to the users of e‐paper.
Title: P‐10.7: A multi‐level error diffusion algorithm based on edge enhancement of color electrophoretic displays
Description:
Electrophoretic display (EPD) has the same reflective and wide viewing angle characteristics as paper, and also has the advantages of low power consumption and bistab‐ility.
At the same time, its eye protection characteri‐stics are deeply loved by the public, so that people have more ex‐pectations for color EPD, but there are still problems such as poor quality and jagged edges of the display image.
Due to the limitation of the grayscale range caused by the driver chip and the driving mode of EPDs, when the 256‐level grayscale image on the PC is put on the EPD for display, the driving circuit system will compress the gra‐yscale.
This results in a loss of detail, a step jump in the image, and a lack of clarity in the texture.
In order to solve the above problems, a multi‐level error diffusion algorithm based on edge enhancement is proposed.
The dataset KODIM was selected as the experimental object, compared with the traditional error diffusion algori‐thm, the image quality evaluation index PSNR is improved by 22.
4%‐30.
8%, and SSIM is closer to 1.
And the EPD shows more image details, which brings a better visual experience to the users of e‐paper.

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