{"title":"Image tamper detection and recovery system based on discrete wavelet transformation","authors":"Kwang-Fu Li, Tung-Shou Chen, S. Wu","doi":"10.1109/PACRIM.2001.953548","DOIUrl":null,"url":null,"abstract":"In this paper we propose an image tamper detection and recovery system based on the discrete wavelet transform (DWT) technique. When the system receives an image from a user input, this system will transform the image from its spatial domain to the frequency domain based on the DWT, and extract some information from the frequency domain as the eigenvalue of this image. Then, we hide this eigenvalue in the middle frequency band of the frequency domain as evidence for tamper detection in the future. When we doubt a protected image that may be tampered by other users, we can input this image into the tamper recovery system. If this image was tampered by other users, we can use the eigenvalue that was hidden in the image to recover this image. This system not only can recover the tampered area but there is also no need for the original image to ascertain if the image was tampered with or not, and no need for extra disk space to store extra information to recover the tampered area of the image.","PeriodicalId":261724,"journal":{"name":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","volume":"14 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2001.953548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 40
Abstract
In this paper we propose an image tamper detection and recovery system based on the discrete wavelet transform (DWT) technique. When the system receives an image from a user input, this system will transform the image from its spatial domain to the frequency domain based on the DWT, and extract some information from the frequency domain as the eigenvalue of this image. Then, we hide this eigenvalue in the middle frequency band of the frequency domain as evidence for tamper detection in the future. When we doubt a protected image that may be tampered by other users, we can input this image into the tamper recovery system. If this image was tampered by other users, we can use the eigenvalue that was hidden in the image to recover this image. This system not only can recover the tampered area but there is also no need for the original image to ascertain if the image was tampered with or not, and no need for extra disk space to store extra information to recover the tampered area of the image.