{"title":"A novel steganography approach for 3D polygonal meshes using Surfacelet Transform","authors":"H. Kaveh, M. Moin, F. Razzazi","doi":"10.1109/IRANIANMVIP.2013.6780000","DOIUrl":null,"url":null,"abstract":"Steganography is the science and art of communicating secret data in an appropriate multimedia cover. Three-dimensional (3D) meshes have been used more and more in industrial, medical, and entertainment applications during the last decades. In This Paper, a high-capacity and very low-distortion 3D-Mesh steganography scheme based on novel directional N-dimensional Surfacelet Transform, is proposed. Experimental results show that the cover model distortion is very small. This novel approach can provide much higher hiding capacity and lower distortion than existing approaches in transform domain, while obeying the main Steganographical factors on 3-D models.","PeriodicalId":297204,"journal":{"name":"2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANMVIP.2013.6780000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Steganography is the science and art of communicating secret data in an appropriate multimedia cover. Three-dimensional (3D) meshes have been used more and more in industrial, medical, and entertainment applications during the last decades. In This Paper, a high-capacity and very low-distortion 3D-Mesh steganography scheme based on novel directional N-dimensional Surfacelet Transform, is proposed. Experimental results show that the cover model distortion is very small. This novel approach can provide much higher hiding capacity and lower distortion than existing approaches in transform domain, while obeying the main Steganographical factors on 3-D models.