增强的方向加权去马赛克数码相机

Taeyoung Jung, Siyoung Yang, Joohyun Lee, Jechang Jeong
{"title":"增强的方向加权去马赛克数码相机","authors":"Taeyoung Jung, Siyoung Yang, Joohyun Lee, Jechang Jeong","doi":"10.1109/ICSPCS.2008.4813721","DOIUrl":null,"url":null,"abstract":"Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are effective in removing those noises. We use the min, max and min-max filters to reduce the effects of the neighboring noise samples. Compared to the conventional algorithms, the proposed algorithm achieves better visual quality without aliasing artifacts.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Enhanced Directionally Weighted Demosaicing for Digital Cameras\",\"authors\":\"Taeyoung Jung, Siyoung Yang, Joohyun Lee, Jechang Jeong\",\"doi\":\"10.1109/ICSPCS.2008.4813721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are effective in removing those noises. We use the min, max and min-max filters to reduce the effects of the neighboring noise samples. Compared to the conventional algorithms, the proposed algorithm achieves better visual quality without aliasing artifacts.\",\"PeriodicalId\":202698,\"journal\":{\"name\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCS.2008.4813721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCS.2008.4813721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

大多数数码相机采用彩色滤光片阵列,以减少成本和尺寸。然而,当我们使用颜色过滤器数组时,我们需要插值缺失的像素。针对单传感器数码相机的彩色滤波图像,提出了一种增强的方向加权去马赛克算法。噪声可以混合到捕获的图像中,并且min, max和min-max滤波器可以有效地去除这些噪声。我们使用最小、最大和最小-最大滤波器来减少相邻噪声样本的影响。与传统算法相比,该算法在没有混叠现象的情况下获得了更好的视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Directionally Weighted Demosaicing for Digital Cameras
Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are effective in removing those noises. We use the min, max and min-max filters to reduce the effects of the neighboring noise samples. Compared to the conventional algorithms, the proposed algorithm achieves better visual quality without aliasing artifacts.
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