Thus, the capability to identify image manipulation is a current research focus, and a key domain in digital image authentication is copy-move forgery detection (cmfd) copy-move forgery is the process of copying and pasting from one region to another location within the same image. Forgery detection as an overview and also references from which the researchers have new ideas and solutions for copy-move detection, the searching of similar regions is the main purpose in almost all methods while the searching of inconsistencies of features is considered the solution in splicing detection.
Comofod - image database for copy-move forgery detection introduction the aim of a digital image forensic is to determine the authenticity of digital images one of the most common used forgery methods is a copy-move forgery, where part of an image is copied to another location in the same image. The forgery-type dependent detection techniques are designed for specific types of forgeries, such as copy-move or image splicing, while the independent techniques are designed to detect forgeries regardless of the type of the forgery.
Nevertheless, copy move forgery is top challenging falsifications since the region of copy-move attack belongs to the same image hence, it is tougher to detect the tampered region within the same image as compared with detecting the areas of some other image statistical methods such as image splicing [ 34 , 35 . Copy-move manipulations are common form of local processing, where parts of an image are copied and reinserted into another part of the same image the problem of detecting the copy-move forgery describes an efficient and reliable detection and detects duplicate image regions most detection algorithm focused on pixel basis. Request pdf on researchgate | on jan 1, 2003, j fridrich and others published detection of copy-move forgery in digital images. Features are widely used in the key-points based copy-move forgery detection techniques matching: both block and keypoints based techniques use appropriate matching procedures for forgery deci-sion similar feature vectors are matched using high similarity as an indicator for the presence of duplicated regions.
Some methods regarding copy-move forgery are highlighted in , but all the methods have not been covered in the survey in the next section, the methods which have been published are listed with their key features ii methods j fridrich, david soukal and jan lukas  suggested one of the raw and earliest methods to detect copy move forgery. Recently, a new efficient block-matching based copy-move forgery detection method referencing to the fourier-mellin transform (fmt) was proposed by bayram , which performs radial projection on the log-polar coordinate fourier transformation of image blocks.
Any copy-move forgery introduces a correlation between the original image segment and the pasted one this correlation can be used as a basis for a successful detection of this type of. Copy-move forgery detection is a special type of forgery detection approach and widely used under digital image forensics in copy-move forgery, a specific area is copied and then pasted into any other region of the image.
The detection method we can describe the copy-move forgery detection algorithm in the following steps: convert the rgb image to yuv color space divide the r, g, b, y components into fixed-sized blocks obtain each block r, g, b and y components calculate each block r, g, b and y components dct (discrete cosine transform) coefficients.
Copy-move forgery is a speciﬁc type of image tampering where a part of the image is copied and pasted on another part gen- erally to conceal unwanted portions of the image.