基于精确边缘插值的去马赛克算法

Yinan Wang, Rongchuan Cao, Yingzhou Guan, Xiangdong Chen, Tianliang Liu, Zhen-ming Yu
{"title":"基于精确边缘插值的去马赛克算法","authors":"Yinan Wang, Rongchuan Cao, Yingzhou Guan, Xiangdong Chen, Tianliang Liu, Zhen-ming Yu","doi":"10.1145/3517077.3517092","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a new demosaicking algorithm for imaging system based on accurate edge detection. Different from the conventional demosaicking method, the proposed method has two steps: first, using thresholding method, the geometric distribution of the local region is investigated to detect the interpolation direction; second, different interpolation methods are adopted to recover the missing color components according to the local region statistics; As compared with the latest demosaicking methods, experiments showed that the proposed algorithm provided outstanding performance in terms of both objective and subjective image qualities.","PeriodicalId":233686,"journal":{"name":"2022 7th International Conference on Multimedia and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demosaicking Algorithm Based on Accurate Edge-directed Interpolation\",\"authors\":\"Yinan Wang, Rongchuan Cao, Yingzhou Guan, Xiangdong Chen, Tianliang Liu, Zhen-ming Yu\",\"doi\":\"10.1145/3517077.3517092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed a new demosaicking algorithm for imaging system based on accurate edge detection. Different from the conventional demosaicking method, the proposed method has two steps: first, using thresholding method, the geometric distribution of the local region is investigated to detect the interpolation direction; second, different interpolation methods are adopted to recover the missing color components according to the local region statistics; As compared with the latest demosaicking methods, experiments showed that the proposed algorithm provided outstanding performance in terms of both objective and subjective image qualities.\",\"PeriodicalId\":233686,\"journal\":{\"name\":\"2022 7th International Conference on Multimedia and Image Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Multimedia and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3517077.3517092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Multimedia and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3517077.3517092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种基于精确边缘检测的图像去马赛克算法。与传统的去马赛克方法不同,该方法分为两步:首先,采用阈值分割法,研究局部区域的几何分布,检测插值方向;其次,根据局部区域统计,采用不同的插值方法恢复缺失的颜色分量;实验表明,与最新的去马赛克方法相比,该算法在客观和主观图像质量方面都有出色的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demosaicking Algorithm Based on Accurate Edge-directed Interpolation
In this paper, we proposed a new demosaicking algorithm for imaging system based on accurate edge detection. Different from the conventional demosaicking method, the proposed method has two steps: first, using thresholding method, the geometric distribution of the local region is investigated to detect the interpolation direction; second, different interpolation methods are adopted to recover the missing color components according to the local region statistics; As compared with the latest demosaicking methods, experiments showed that the proposed algorithm provided outstanding performance in terms of both objective and subjective image qualities.
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