Abhishek Kashyap, R. Parmar, B. Suresh, Megha Agarwal, Hariom Gupta
{"title":"Detection of digital image forgery using wavelet decomposition and outline analysis","authors":"Abhishek Kashyap, R. Parmar, B. Suresh, Megha Agarwal, Hariom Gupta","doi":"10.1109/ICSPCOM.2016.7980573","DOIUrl":null,"url":null,"abstract":"Digital Images are everywhere, in newspapers, on the covers of the magazine, in courtrooms and all over the internet. Throughout the day, we are exposed to them and most of the time we trust what we see. Due to the presence of powerful editing software in the market, there is uncertainty on the credibility of the digital images as these might be manipulated, therefore we propose the methodology to identify the duplicated image based on edge analysis method. The proposed method is able to identify forged area of an image and it's accuracy is 81.50% with in small processing time.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Signal Processing and Communication (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCOM.2016.7980573","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
Digital Images are everywhere, in newspapers, on the covers of the magazine, in courtrooms and all over the internet. Throughout the day, we are exposed to them and most of the time we trust what we see. Due to the presence of powerful editing software in the market, there is uncertainty on the credibility of the digital images as these might be manipulated, therefore we propose the methodology to identify the duplicated image based on edge analysis method. The proposed method is able to identify forged area of an image and it's accuracy is 81.50% with in small processing time.