使用双树复合小波滤波器去除JPEG压缩图像中的阻塞伪影

2006 IFIP International Conference on Wireless and Optical Communications Networks Pub Date : 2006-08-07 DOI:10.1109/WOCN.2006.1666679

K. Nallaperumal, J. J. Ranjani, S. Christopher, S. Saudia

{"title":"使用双树复合小波滤波器去除JPEG压缩图像中的阻塞伪影","authors":"K. Nallaperumal, J. J. Ranjani, S. Christopher, S. Saudia","doi":"10.1109/WOCN.2006.1666679","DOIUrl":null,"url":null,"abstract":"The popular international standard for compression, the Joint Photographers Expert Group (JPEG) quite often leads to noticeable discontinuities along the boundaries called the `blocking artifacts'. When the image is JPEG compressed the high frequency details of the coded image are mainly contaminated by quantization noise. An estimation of the actual pixel is obtained from the decoded image. The estimated image is denoised using dual tree complex wavelet transform (DTCWT), which is a variant of discrete wavelet transform. This transformation ensures approximate shift invariance and directional selectivity properties that are lacking in the traditional wavelet transform","PeriodicalId":275012,"journal":{"name":"2006 IFIP International Conference on Wireless and Optical Communications Networks","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Removal of blocking artifacts in JPEG compressed images using dual tree complex wavelet filters for multimedia on the Web\",\"authors\":\"K. Nallaperumal, J. J. Ranjani, S. Christopher, S. Saudia\",\"doi\":\"10.1109/WOCN.2006.1666679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The popular international standard for compression, the Joint Photographers Expert Group (JPEG) quite often leads to noticeable discontinuities along the boundaries called the `blocking artifacts'. When the image is JPEG compressed the high frequency details of the coded image are mainly contaminated by quantization noise. An estimation of the actual pixel is obtained from the decoded image. The estimated image is denoised using dual tree complex wavelet transform (DTCWT), which is a variant of discrete wavelet transform. This transformation ensures approximate shift invariance and directional selectivity properties that are lacking in the traditional wavelet transform\",\"PeriodicalId\":275012,\"journal\":{\"name\":\"2006 IFIP International Conference on Wireless and Optical Communications Networks\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IFIP International Conference on Wireless and Optical Communications Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCN.2006.1666679\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IFIP International Conference on Wireless and Optical Communications Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2006.1666679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

流行的国际压缩标准，联合摄影师专家组(JPEG)经常导致沿边界明显的不连续，称为“阻塞伪影”。在对图像进行JPEG压缩时，编码图像的高频细节主要受到量化噪声的污染。从解码的图像中获得实际像素的估计。利用离散小波变换的变体对偶树复小波变换(DTCWT)对估计图像进行去噪。这种变换保证了传统小波变换所缺乏的近似平移不变性和方向选择性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Removal of blocking artifacts in JPEG compressed images using dual tree complex wavelet filters for multimedia on the Web

The popular international standard for compression, the Joint Photographers Expert Group (JPEG) quite often leads to noticeable discontinuities along the boundaries called the `blocking artifacts'. When the image is JPEG compressed the high frequency details of the coded image are mainly contaminated by quantization noise. An estimation of the actual pixel is obtained from the decoded image. The estimated image is denoised using dual tree complex wavelet transform (DTCWT), which is a variant of discrete wavelet transform. This transformation ensures approximate shift invariance and directional selectivity properties that are lacking in the traditional wavelet transform

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

2006 IFIP International Conference on Wireless and Optical Communications Networks

自引率

0.00%

发文量