Image demosaicing by using iterative residual interpolation

W. Ye, K. Ma
{"title":"Image demosaicing by using iterative residual interpolation","authors":"W. Ye, K. Ma","doi":"10.1109/ICIP.2014.7025373","DOIUrl":null,"url":null,"abstract":"A new demosaicing approach has been introduced recently, which is based on conducting interpolation on the generated residual fields rather than on the color-component difference fields as commonly practiced in most demosaicing methods. In view of its attractive performance delivered by such residual interpolation (RI) strategy, a new RI-based demosaicing method is proposed in this paper that has shown much improved performance. The key success of our approach lies in that the RI process is iteratively deployed to all the three channels for generating a more accurately reconstructed G channel, from which the R channel and the B channel can be better reconstructed as well. Extensive simulations conducted on two commonly-used test datasets have clearly demonstrated that our algorithm is superior to the existing state-of-the-art demosaicing methods, both on objective performance evaluation and on subjective perceptual quality.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"11 1","pages":"1862-1866"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2014.7025373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

A new demosaicing approach has been introduced recently, which is based on conducting interpolation on the generated residual fields rather than on the color-component difference fields as commonly practiced in most demosaicing methods. In view of its attractive performance delivered by such residual interpolation (RI) strategy, a new RI-based demosaicing method is proposed in this paper that has shown much improved performance. The key success of our approach lies in that the RI process is iteratively deployed to all the three channels for generating a more accurately reconstructed G channel, from which the R channel and the B channel can be better reconstructed as well. Extensive simulations conducted on two commonly-used test datasets have clearly demonstrated that our algorithm is superior to the existing state-of-the-art demosaicing methods, both on objective performance evaluation and on subjective perceptual quality.
基于迭代残差插值的图像去马赛克
近年来提出了一种新的去马赛克方法,该方法是基于对产生的残差场进行插值,而不是像大多数去马赛克方法那样对颜色分量差场进行插值。鉴于残差插值策略具有良好的性能,本文提出了一种新的基于残差插值的去马赛克方法,该方法的性能得到了很大的提高。我们方法的关键成功之处在于,RI过程迭代地部署到所有三个通道,以生成更准确地重构的G通道,从而也可以更好地重构R通道和B通道。在两个常用的测试数据集上进行的大量模拟清楚地表明,我们的算法在客观性能评估和主观感知质量方面都优于现有的最先进的去马赛克方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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