文章基本信息

标题：Copy-Move Image Forgery Detection using Frequency-based Techniques: A Review
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作者：Anuja Dixit ; R. K. Gupta
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：3
页码：71-88
DOI：10.14257/ijsip.2016.9.3.07
出版社：SERSC
摘要：Digital images are inseparable part of our life. Images are used at various places like medical imaging, crime scene investigation, forensic analysis, courts etc. but due to ubiquitous accessibility of image editing software, images are no longer trusted. Digital images are losing their credibility. For checking authenticity of digital images forgery detection methods are required. One of the most frequent image forgery is copy-move. In this forgery, a region of the original image is used for producing a manipulated image by performing post-processing operations over copied segment before pasting it to original image. The main principle of finding such type of forgery is based on finding resemblance present in different segments of image. Image is divided in blocks then feature vectors are extracted corresponding to different blocks of image. Sorting techniques are applied to find similarity between blocks. In case of natural images which may have similar regions, shift vectors are calculated to decrease false matches. Several methods are suggested by researchers to detect such type of forgery. In this paper, a survey on frequency-based methods is presented for detecting copy-move forgery in images.
关键词：Block-based methods; Copy-move forgery; Digital forensic; Feature ; extraction; Image forgery; Lexicographic sorting