Digital Investigation, Vol. 10, No. 3, pp. 226–245.
ISSN/ISBN: Not available at this time. DOI: 10.1016/j.diin.2013.04.007
Abstract: Today manipulation of digital images has become easy due to powerful computers, advanced photo-editing software packages and high resolution capturing devices. Verifying the integrity of images and detecting traces of tampering without requiring extra prior knowledge of the image content or any embedded watermarks is an important research field. An attempt is made to survey the recent developments in the field of digital image forgery detection and complete bibliography is presented on blind methods for forgery detection. Blind or passive methods do not need any explicit priori information about the image. First, various image forgery detection techniques are classified and then its generalized structure is developed. An overview of passive image authentication is presented and the existing blind forgery detection techniques are reviewed. The present status of image forgery detection technique is discussed along with a recommendation for future research.
title = "Digital image forgery detection using passive techniques: A survey ",
journal = "Digital Investigation ",
volume = "10",
number = "3",
pages = "226 - 245",
year = "2013",
note = "",
issn = "1742-2876",
doi = "http://dx.doi.org/10.1016/j.diin.2013.04.007",
url = "http://www.sciencedirect.com/science/article/pii/S1742287613000364",
author = "Gajanan K. Birajdar and Vijay H. Mankar",
Reference Type: Journal Article
Subject Area(s): Image Processing