首页 | 本学科首页   官方微博 | 高级检索  
     

基于调和修补模型的图像压缩方案
引用本文:张红英,彭启琮.基于调和修补模型的图像压缩方案[J].光电工程,2006,33(10):125-131.
作者姓名:张红英  彭启琮
作者单位:电子科技大学,通信与信息工程学院,四川,成都,610054;电子科技大学,通信与信息工程学院,四川,成都,610054
摘    要:本文采用调和修补模型,给出了一种新的图像压缩方案。在图像编码端,采用边缘提取技术,仅对边缘扩展图像进行压缩编码,大大减少了需要编码的信息量。在图像解码端,采用调和修补模型来重建原始图像。通过对大量灰度和彩色图像进行实验,结果表明,该压缩方案能够在较少信息量的情况下得到很好的重建图像。

关 键 词:图像修补  图像压缩  调和模型  全变分模型  偏微分方程
文章编号:1003-501X(2006)10-0125-07
收稿时间:2005-10-12
修稿时间:2005-12-28

Image compression scheme based on harmonic inpainting model
ZHANG Hong-ying,PENG Qicong.Image compression scheme based on harmonic inpainting model[J].Opto-Electronic Engineering,2006,33(10):125-131.
Authors:ZHANG Hong-ying  PENG Qicong
Affiliation:School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
Abstract:In this paper, image inpainting is applied to image compression and a novel scheme of compression based on edge information is proposed. In encoding, Edge extension image is only encoded so that required information for encoding is greatly reduced, and thus a high compression rate is achieved. In decoding, a harmonic inpainting model is applied to reconstruct the image. Finally, a lot of images including gray level and color images are simulated. The results show that with this scheme proposed, we can get a good quality of reconstructed image in the condition of less image information.
Keywords:Image inpainting  Image compression  Harmonic model  Total variational model  Partial differential equation (PDE)
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号