期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2015
卷号：7
期号：4
页码：127
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Different methods have been experimented for processing and detecting forgery in digital images. Imageforgery involves various activities like copy-move forgery, image slicing, retouching, morphing etc. Incopy-move forgery a portion within the image is copied and pasted on another part of the same image,generally to conceal or enhance certain portions of the image. This paper proposes a copy-move forgerydetection using local fractal dimension and structural similarity indices. The image is classified intodifferent texture regions based on the local fractal dimension. Forgery checking is thus confined to beamong the portions within a region. Structural similarity index measure is applied to each block pair ineach region to localize the forged portion. Experimental results prove that this hybrid method caneffectively detect such kind of image tampering with minimum false positives.
