首页 | 本学科首页   官方微博 | 高级检索  
     

小波域边缘保持规整化图像复原
引用本文:曹学光,易沫,汪雪林,彭思龙.小波域边缘保持规整化图像复原[J].中国图象图形学报,2006,11(2):224-229.
作者姓名:曹学光  易沫  汪雪林  彭思龙
作者单位:中国科学院自动化研究所国家专用集成电路设计工程技术研究中心,北京100080
摘    要:图像复原是一个病态问题,一般需要通过规整化技术得到一个合适的解.规整化的难点在于抑制噪声的同时要保持图像的边缘等重要的图像信息.为了更有效地保持复原图像的边缘,提出了小波域边缘保持规整化泛函的一般形式,并给出了相应的求解方法.针对小波域图像复原方法可能产生的Gibbs效应,利用自然图像小波变换的水平(竖直)子带在水平(竖直)方向的连续性,通过额外的惩罚项加以解决.仿真实验结果说明了该方法的有效性.

关 键 词:边缘保持规整化  Gibbs效应  Markov随机场  位势函数
文章编号:1006-8961(2006)02-0224-06
收稿时间:2004-09-13
修稿时间:2005-06-14

Image Restoration with Edge-preserving Regularization in Wavelet Domain
CAO Xue-guang,YI Mo,WANG Xue-lin,PENG Si-long,CAO Xue-guang,YI Mo,WANG Xue-lin,PENG Si-long,CAO Xue-guang,YI Mo,WANG Xue-lin,PENG Si-long and CAO Xue-guang,YI Mo,WANG Xue-lin,PENG Si-long.Image Restoration with Edge-preserving Regularization in Wavelet Domain[J].Journal of Image and Graphics,2006,11(2):224-229.
Authors:CAO Xue-guang  YI Mo  WANG Xue-lin  PENG Si-long  CAO Xue-guang  YI Mo  WANG Xue-lin  PENG Si-long  CAO Xue-guang  YI Mo  WANG Xue-lin  PENG Si-long and CAO Xue-guang  YI Mo  WANG Xue-lin  PENG Si-long
Abstract:Image restoration is an ill posed problem and must be regularized.Usually,the difficulty of regularization lies in avoiding the smoothing of edges while suppressing the noise.In order to preserve the edges of restored image effectively,a general wavelet based edge-preserving regularization scheme and the corresponding solving scheme are proposed.To get rid of the Gibbs effects of restoration algorithms in wavelet domain,the natural(image's) horizontal(vertical) continuity in horizontal(vertical) sub-band together with additioned punishment are employed.Experiments are presented which verified the theoretical results.
Keywords:edge-preserving regularization  Gibbs effects  Markov random field  potential function
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《中国图象图形学报》浏览原始摘要信息
点击此处可从《中国图象图形学报》下载免费的PDF全文
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