利用马尔可夫随机场恢复退化图像

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI:10.1109/ICASSP.1988.196762

M. El-Gabali, M. Shridhar, M. Ahmadi

{"title":"利用马尔可夫随机场恢复退化图像","authors":"M. El-Gabali, M. Shridhar, M. Ahmadi","doi":"10.1109/ICASSP.1988.196762","DOIUrl":null,"url":null,"abstract":"Algorithms are presented that are capable of restoring images degraded by a variety of corrupting noise sources. These include any combination of additive and/or multiplicative Gaussian noise, focus blur and nonlinear distortion. A parallel implementation of the algorithm is shown to be feasible.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Restoration of degraded images using Markov random fields\",\"authors\":\"M. El-Gabali, M. Shridhar, M. Ahmadi\",\"doi\":\"10.1109/ICASSP.1988.196762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithms are presented that are capable of restoring images degraded by a variety of corrupting noise sources. These include any combination of additive and/or multiplicative Gaussian noise, focus blur and nonlinear distortion. A parallel implementation of the algorithm is shown to be feasible.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.196762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.196762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种能够恢复被各种噪声源破坏的图像的算法。这些包括任何加性和/或乘性高斯噪声，焦点模糊和非线性失真的组合。该算法的并行实现被证明是可行的

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Restoration of degraded images using Markov random fields

Algorithms are presented that are capable of restoring images degraded by a variety of corrupting noise sources. These include any combination of additive and/or multiplicative Gaussian noise, focus blur and nonlinear distortion. A parallel implementation of the algorithm is shown to be feasible.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

自引率

0.00%

发文量