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电润湿电子纸的图像灰度信息自适应误差扩散

蔡苾芃 梅婷 林珊玲 王廷雨 毛文杰 张建豪 郭太良 林志贤

光学精密工程2024,Vol.32Issue(24):3554-3565,12.
光学精密工程2024,Vol.32Issue(24):3554-3565,12.DOI:10.37188/OPE.20243224.3554

电润湿电子纸的图像灰度信息自适应误差扩散

Image gray scale information adaptive error diffusion of electrowetting electronic paper

蔡苾芃 1梅婷 1林珊玲 2王廷雨 2毛文杰 2张建豪 2郭太良 1林志贤3

作者信息

  • 1. 福州大学 物理与信息工程学院,福建 福州 350116||中国福建光电信息科学与技术创新实验室,福建 福州 350116
  • 2. 中国福建光电信息科学与技术创新实验室,福建 福州 350116||福州大学 先进制造学院,福建 泉州 362200
  • 3. 福州大学 物理与信息工程学院,福建 福州 350116||中国福建光电信息科学与技术创新实验室,福建 福州 350116||福州大学 先进制造学院,福建 泉州 362200
  • 折叠

摘要

Abstract

At present,the grayscale levels of electrowetting electronic paper are not enough to meet the display needs of mainstream images.Ink reflow also affects the image quality on electrowetting electronic paper,making it difficult to distinguish details,and leading to issues such as edge blur,loss of image de-tails,and a strong particle sense in the displayed image.In order to solve these problems,this paper pro-posed an adaptive error diffusion algorithm based on characteristics of the grayscale information distribution in images.First,in order to obtain a high-fidelity grayscale reference image with 256 levels,an input color image was denoised and grayscale processed.Second,we employed sub-pixel edge detection to meticu-lously segment the image into edge and smooth regions.This method emphasized the edge areas while si-multaneously enhancing the texture of smooth regions.This enhancement was tailored to align with the lo-cal visual characteristics of human eyes by considering the grayscale variations within the neighborhood of image.Last but not least,we adaptively adjusted the diffusion error threshold according to the grayscale information distribution characteristics of the reference image.This method reduced the error between the original reference grayscale image with 256 levels and the processed image.The experimental results showed that the images processed by this algorithm get 4.227 8 in the mean opinion score of the five-grade scoring system.The average peak signal to noise ratio reached 45.903 3 dB,marking a 16.47%to 48.89%improvement over other advanced technologies.Additionally,the average visual information fi-delity reached 0.964 3,marking a 1.53%to 50.02%enhancement compared to other advanced methods.The method presented in this paper makes the edges of the images displayed on electrowetting electronic paper clearer and improves the detail and texture,thereby enhancing the readability of the electrowetting electronic paper.

关键词

电润湿电子纸/灰度等级/误差扩散/图像灰度信息

Key words

electrowetting electronic paper/gray scale grade/error diffusion/image gray scale infor-mation

分类

信息技术与安全科学

引用本文复制引用

蔡苾芃,梅婷,林珊玲,王廷雨,毛文杰,张建豪,郭太良,林志贤..电润湿电子纸的图像灰度信息自适应误差扩散[J].光学精密工程,2024,32(24):3554-3565,12.

基金项目

国家重点研发计划(No.2021YFB3600603) (No.2021YFB3600603)

光学精密工程

OA北大核心CSTPCD

1004-924X

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