彩色滤波阵列图像恢复的迭代正则化方法

Tao Ma, S. Reeves
{"title":"彩色滤波阵列图像恢复的迭代正则化方法","authors":"Tao Ma, S. Reeves","doi":"10.1109/ICIT.2011.5754397","DOIUrl":null,"url":null,"abstract":"Color image demosaicking aims to reconstruct the full-resolution RGB image from a mosaicked Color Filter Array (CFA) image. Instead of reconstructing the red, green, and blue color channels separately, most demosaicking approaches mutually recover them. However, CFA images tend to be distorted by the non-ideal response of the camera sensor, and possible motion or out-of-focus blurs during the acquisition. Demosaicking followed by deblurring is sub-optimal because demosaicking errors will be propagated into deblurring and amplified by the latter. This paper presents a regularization approach to jointly deblur and demosaic CFA images. By embedding a non-linear demosaicking algorithm into a regularized restoration method, the full-color RGB image can be recovered and refined iteratively. The numerical and visual results show that our approach is superior to other methods.","PeriodicalId":356868,"journal":{"name":"2011 IEEE International Conference on Industrial Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An iterative regularization approach for Color Filter Array image restoration\",\"authors\":\"Tao Ma, S. Reeves\",\"doi\":\"10.1109/ICIT.2011.5754397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Color image demosaicking aims to reconstruct the full-resolution RGB image from a mosaicked Color Filter Array (CFA) image. Instead of reconstructing the red, green, and blue color channels separately, most demosaicking approaches mutually recover them. However, CFA images tend to be distorted by the non-ideal response of the camera sensor, and possible motion or out-of-focus blurs during the acquisition. Demosaicking followed by deblurring is sub-optimal because demosaicking errors will be propagated into deblurring and amplified by the latter. This paper presents a regularization approach to jointly deblur and demosaic CFA images. By embedding a non-linear demosaicking algorithm into a regularized restoration method, the full-color RGB image can be recovered and refined iteratively. The numerical and visual results show that our approach is superior to other methods.\",\"PeriodicalId\":356868,\"journal\":{\"name\":\"2011 IEEE International Conference on Industrial Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Industrial Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2011.5754397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2011.5754397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

彩色图像去马赛克的目的是从彩色滤波阵列(CFA)图像中重建全分辨率RGB图像。大多数去马赛克方法不是分别重建红、绿、蓝颜色通道,而是相互恢复它们。然而,CFA图像往往会被相机传感器的非理想响应所扭曲,并且在采集过程中可能出现运动或失焦模糊。去马赛克之后去模糊是次优的,因为去马赛克的误差会传播到去模糊,并被后者放大。本文提出了一种正则化方法,用于CFA图像的去模糊和演示。将非线性去马赛克算法嵌入正则化恢复方法中,实现了RGB全彩图像的迭代恢复和细化。数值和视觉结果表明,该方法优于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An iterative regularization approach for Color Filter Array image restoration
Color image demosaicking aims to reconstruct the full-resolution RGB image from a mosaicked Color Filter Array (CFA) image. Instead of reconstructing the red, green, and blue color channels separately, most demosaicking approaches mutually recover them. However, CFA images tend to be distorted by the non-ideal response of the camera sensor, and possible motion or out-of-focus blurs during the acquisition. Demosaicking followed by deblurring is sub-optimal because demosaicking errors will be propagated into deblurring and amplified by the latter. This paper presents a regularization approach to jointly deblur and demosaic CFA images. By embedding a non-linear demosaicking algorithm into a regularized restoration method, the full-color RGB image can be recovered and refined iteratively. The numerical and visual results show that our approach is superior to other methods.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信