文章基本信息

标题：Identification of Fake Images Using Illumination Classification
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作者：Poojashri A Shrirao ; Prakash Mohod
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015. 0307031
出版社：S&S Publications
摘要：For decade photo graph have served as evidence or real time event, in court. One of the most commonforms of photo graphic manipulation known as image splicing or image composition. And this concept is analyzed inthis paper image splicing is one of most common type of image tampering operating. The goal of image forgeries is todistinguish between original and manipulated image. In this paper, we are focusing on authenticity of images which arebased on concept of illumination color classification or estimation the illumination color is estimated using to methodi.e. physical based method as well as statistical edge method which make use of inverse intensity chromaticity colorspace. The estimation of illuminant color is extracted from various small regions. This illuminant classification methoddoes not have any expert knowledge and this is a machine learning approach. By the concept of machine learningrequire minimum user interaction. For the classification purpose SVM (support vector machine) concept are use.
关键词：Forgery detection; Illuminant color estimation; Color constancy approach; SVM