R. Karsh, Anurag Das, G. Swetha, A. Medhi, R. Laskar, Utkarsh Arya, Rohit Agarwal
{"title":"Copy-move forgery detection using ASIFT","authors":"R. Karsh, Anurag Das, G. Swetha, A. Medhi, R. Laskar, Utkarsh Arya, Rohit Agarwal","doi":"10.1109/IICIP.2016.7975329","DOIUrl":null,"url":null,"abstract":"Detecting forgeries in images especially those involved in Copy-Move forgery could become a challenging prospect in the acreage of image forensics. The significance of detecting such forgeries comes to light, given the rise of such malpractices. Now we will see a approach using ASIFT which is planned to expose regions which have been copied and then pasted in another region to either duplicate information or hide critical details. Special importance has been given to forgeries involving affine transformations as they are rather onerous to detect. Copy-Move forgery apprehension using this approach gives better results as compared to detection using SIFT. Extensive testing on images with significant affine transformations justifies this.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 1st India International Conference on Information Processing (IICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICIP.2016.7975329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Detecting forgeries in images especially those involved in Copy-Move forgery could become a challenging prospect in the acreage of image forensics. The significance of detecting such forgeries comes to light, given the rise of such malpractices. Now we will see a approach using ASIFT which is planned to expose regions which have been copied and then pasted in another region to either duplicate information or hide critical details. Special importance has been given to forgeries involving affine transformations as they are rather onerous to detect. Copy-Move forgery apprehension using this approach gives better results as compared to detection using SIFT. Extensive testing on images with significant affine transformations justifies this.