{"title":"Performance evaluation of data hiding system using wavelet transform and error-control coding","authors":"N. Abdulaziz, K. K. Pang","doi":"10.1109/ICIP.2000.901031","DOIUrl":null,"url":null,"abstract":"This paper proposes an algorithm of data hiding for an image signal based on the wavelet transform and error-correcting codes. The data to be embedded, referred to as the signature data, are coded using error-correcting codes and the resulting code is hidden into the wavelet transformed coefficients of the host image in a vector based perturbation. When the amount of hidden data is large, as is the case when the signature data is an image, the signature data are first compressed using vector quantization and the indices obtained in the process are embedded. Information data are detected using both original and watermarked images. Simulation results demonstrate the high robustness of the algorithm to image degradations such as JPEG and additive noise.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2000.901031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper proposes an algorithm of data hiding for an image signal based on the wavelet transform and error-correcting codes. The data to be embedded, referred to as the signature data, are coded using error-correcting codes and the resulting code is hidden into the wavelet transformed coefficients of the host image in a vector based perturbation. When the amount of hidden data is large, as is the case when the signature data is an image, the signature data are first compressed using vector quantization and the indices obtained in the process are embedded. Information data are detected using both original and watermarked images. Simulation results demonstrate the high robustness of the algorithm to image degradations such as JPEG and additive noise.