文章基本信息

标题：A Novel Algorithm for Image Copy-move Forgery Detection and Localization based on SVD and Projection Data
本地全文：下载
作者：Feng Liu1 ; Hao Feng
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2014
卷号：9
期号：9
页码：189-200
DOI：10.14257/ijmue.2014.9.9.20
出版社：SERSC
摘要：With the widespread use of powerful image editing tools, the demand for identifying the authenticity of an image is much increased. Copy-move forgery is one of the most common and immediate tampering attacks, and is one type of image forgery where one region of an image is copied to another region in an attempt to cover some potentially important features. In this paper a Novel approach is presented for image copy-move forgery detection and localization based on SVD and Projection Data. Experiment results demonstrate that our proposed algorithm can effectively detect multiple copy-move forgery and precisely locate the duplicated regions, even when an image was distorted by Gaussian blurring,JPEG compression and their mixed operations.
关键词：Digital image forgery; copy-move forgery; SVD; Projection Data