固定图案背景的校正和JPEG压缩CCD图像的恢复

M. Datcu, G. Schwarz, K. Schmidt, C. Reck
{"title":"固定图案背景的校正和JPEG压缩CCD图像的恢复","authors":"M. Datcu, G. Schwarz, K. Schmidt, C. Reck","doi":"10.1109/DCC.1995.515534","DOIUrl":null,"url":null,"abstract":"Summary form only given; substantially as follows. The present paper addresses the problem of the removal of the sensor background patterns, dark current and responsivity, from CCD images, when the uncorrected image was transmitted through a JPEG like block transform coding system. The work is of particular interest for imaging systems which operate under severe hardware restrictions, and require high accuracy, e.g. deep space cameras. The complexity of the problem comes from the aliasing of the image signal and CCD background patterns during the quantization in the transformed domain. The authors investigated several solutions and selected the optimal one based on three objectives: the radiometric accuracy, the visual quality, and the computational complexity. The solution selected for the background pattern removal and image restoration uses a combination of different methods: correction in space domain and iterative regularization in both space and DCT domain.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correction of fixed pattern background and restoration of JPEG compressed CCD images\",\"authors\":\"M. Datcu, G. Schwarz, K. Schmidt, C. Reck\",\"doi\":\"10.1109/DCC.1995.515534\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given; substantially as follows. The present paper addresses the problem of the removal of the sensor background patterns, dark current and responsivity, from CCD images, when the uncorrected image was transmitted through a JPEG like block transform coding system. The work is of particular interest for imaging systems which operate under severe hardware restrictions, and require high accuracy, e.g. deep space cameras. The complexity of the problem comes from the aliasing of the image signal and CCD background patterns during the quantization in the transformed domain. The authors investigated several solutions and selected the optimal one based on three objectives: the radiometric accuracy, the visual quality, and the computational complexity. The solution selected for the background pattern removal and image restoration uses a combination of different methods: correction in space domain and iterative regularization in both space and DCT domain.\",\"PeriodicalId\":107017,\"journal\":{\"name\":\"Proceedings DCC '95 Data Compression Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings DCC '95 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1995.515534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC '95 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1995.515534","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

只提供摘要形式;大体上如下。本文研究了在采用类似JPEG的块变换编码系统传输未校正图像时,CCD图像中传感器背景图案、暗电流和响应性的去除问题。这项工作对在严格的硬件限制下运行并要求高精度的成像系统特别感兴趣,例如深空相机。问题的复杂性来自于变换域量化过程中图像信号和CCD背景图案的混叠。作者从辐射测量精度、视觉质量和计算复杂度三个方面研究了几种解决方案,并选择了最优方案。所选择的背景模式去除和图像恢复的解决方案使用了不同方法的组合:空间域的校正和空间和DCT域的迭代正则化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Correction of fixed pattern background and restoration of JPEG compressed CCD images
Summary form only given; substantially as follows. The present paper addresses the problem of the removal of the sensor background patterns, dark current and responsivity, from CCD images, when the uncorrected image was transmitted through a JPEG like block transform coding system. The work is of particular interest for imaging systems which operate under severe hardware restrictions, and require high accuracy, e.g. deep space cameras. The complexity of the problem comes from the aliasing of the image signal and CCD background patterns during the quantization in the transformed domain. The authors investigated several solutions and selected the optimal one based on three objectives: the radiometric accuracy, the visual quality, and the computational complexity. The solution selected for the background pattern removal and image restoration uses a combination of different methods: correction in space domain and iterative regularization in both space and DCT domain.
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
期刊最新文献
Multiplication-free subband coding of color images Constraining the size of the instantaneous alphabet in trellis quantizers Classified conditional entropy coding of LSP parameters Lattice-based designs of direct sum codebooks for vector quantization On the performance of affine index assignments for redundancy free source-channel coding
×
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