Advance in Image and Audio Restoration and their Assessments: A Review

Omar Mohammed, B. Mahmood
{"title":"Advance in Image and Audio Restoration and their Assessments: A Review","authors":"Omar Mohammed, B. Mahmood","doi":"10.5121/IJCSES.2021.12201","DOIUrl":null,"url":null,"abstract":"Image restoration is the process of restoring the original image from a degraded one. Images can be affected by various types of noise, such as Gaussian noise, impulse noise, and affected by blurring, which is happened during image recordings like motion blur, Out-of-Focus Blur, and others. Image restoration techniques are used to reverse the effect of noise and blurring. Restoration of distorted images can be done using some information about noise and the blurring nature or without any knowledge about the image degradation process. Researchers have proposed many algorithms in this regard; in this paper, different noise and degradation models and restoration methods will be discussed and review some researches in this field.","PeriodicalId":415526,"journal":{"name":"International Journal of Computer Science & Engineering Survey","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science & Engineering Survey","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJCSES.2021.12201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Image restoration is the process of restoring the original image from a degraded one. Images can be affected by various types of noise, such as Gaussian noise, impulse noise, and affected by blurring, which is happened during image recordings like motion blur, Out-of-Focus Blur, and others. Image restoration techniques are used to reverse the effect of noise and blurring. Restoration of distorted images can be done using some information about noise and the blurring nature or without any knowledge about the image degradation process. Researchers have proposed many algorithms in this regard; in this paper, different noise and degradation models and restoration methods will be discussed and review some researches in this field.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
图像和音频恢复及其评价研究进展
图像恢复是将降级后的图像恢复到原始图像的过程。图像可能受到各种类型的噪声的影响,例如高斯噪声、脉冲噪声,以及在图像记录期间发生的模糊(如运动模糊、失焦模糊等)的影响。图像恢复技术用于扭转噪声和模糊的影响。失真图像的恢复可以使用一些关于噪声和模糊性质的信息,或者不需要任何关于图像退化过程的知识。研究人员在这方面提出了许多算法;本文将讨论不同的噪声退化模型和恢复方法,并对该领域的一些研究进行综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Barriers for Females to Pursue Stem Careers and Studies at Higher Education Institutions (HEI). A Closer Look at Academic Literature 5G Vs Wi-Fi Indoor Positioning: A Comparative Study Advance in Image and Audio Restoration and their Assessments: A Review Multilayer Backpropagation Neural Networks for Implementation of Logic Gates Artificial Neural Networks for Medical Diagnosis: A Review of Recent Trends
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1