Copy Move Forgery Detection Research Papers (original) (raw)

With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. Now, you can add, change or delete significant information from an image, without leaving any visible signs of such tampering. With more than several millions pictures uploaded daily to the net, the move towards paperless workplaces, and the introduction of e-Government services everywhere, it is becoming important to develop robust detection methods to identify image tampering operations and validate the credibility of digital images. This led to major research efforts in image forensics for security applications with focus on image forgery detection and authentication. The study of such detection techniques is the main focus of this paper. In particular, we provide a comprehensive survey of different forgery detection techniques, complementing the limitations of existing reviews in the literature. The survey covers image copy-move forgery, splicing, forgery due to resampling, and the newly introduced class of algorithms, namely image retouching. We particularly discuss in detail the class of pixel-based techniques which are the most commonly used approaches, as these do not require any a priori information about the type of tampering. The paper can be seen as a major attempt to provide an up-to-date overview of the research work carried in this all-important field of multimedia.

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- Bibliography, Image Forensic, Survey, Image inpainting

Using image manipulation programs has become easier and more powerful than before. Due to such fact, detection of image forgeries has produced significant interest recently. Falsification of images can initiate dangerous legal concerns. Among the most extensively utilized approaches for image forgeries is copy-move forgery in which a section of the image is copied and duplicated in another location in the same image. A significant part of a digital image can be covered or added using this procedure. In this paper, we propose an accurate algorithm for copy-move forgery detection. A block-based approach is suggested that uses the KD-tree data structure and a simple yet efficient feature vector to detect the possible forgery. The results demonstrated in this work match state of the art methods while providing a significant speedup.

- by Av Subramanyam and +1
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- MPEG2, Video Forensics, Copy Move Forgery Detection

Detection of copy move forgery in images is helpful in legal evidence, in forensic investigation and many other fields. Many Copy Move Forgery Detection (CMFD) schemes are existing in the literature. However, most of them fail to withstand post-processing operations viz., JPEG Compression, noise contamination , rotation. Even if able to identify, they consumes much time to detect and locate. In this paper, a technique is proposed which uses Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP) to identify copy-move forgery. Features are extracted by using LBP on the LL band obtained by applying DWT on the input image. Proper selection of similarity and distance thresholds can localize the forged region correctly.

- by Thilak Babu Sayila and +1
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- Image Processing, Copy Move Forgery Detection

Different methods have been experimented for processing and detecting forgery in digital images. Image forgery involves various activities like copy-move forgery, image slicing, retouching, morphing etc. In copy-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 forgery detection using local fractal dimension and structural similarity indices. The image is classified into different texture regions based on the local fractal dimension. Forgery checking is thus confined to be among the portions within a region. Structural similarity index measure is applied to each block pair in
each region to localize the forged portion. Experimental results prove that this hybrid method can effectively detect such kind of image tampering with minimum false positives.

- by Thilak Babu Sayila
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- Copy Move Forgery Detection

Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods.

- by resmi sekhar
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- Computer Applications, Image forensics, Copy Move Forgery Detection

Copy move (CM) is a common type of forgery which creates tampered image by covering some important part of the image by replacing it with some other part of the same image. Therefore, forgery detection techniques are required to identify tampered areas. In this paper, a copy-move forgery detection (CMFD) method is presented by utilizing Stationary Wavelet transform (SWT) for decomposing the image. After decomposition, approximation band is further subdivided into overlapping blocks and then features are extracted by using principal component analysis (PCA) for each block. In order to match the similar block pairs and identify areas that are likely to be tampered, euclidean distance is used to compute the block distance between the adjacent pair of blocks. To evaluate the performance of the proposed work uncompressed color image dataset (UCID) is used. The quantitative results have been discussed in terms of parameters true positive rate (TPR), false positive rate (FPR) and accuracy and also compared with other existing methods. For qualitative analysis detected images obtained from the proposed method is presented. From the results obtained it can be seen that the proposed method performs better in terms of all parameters as compare to existing methods.

- by ijsetr journal
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- Image Forensic, Authentication, Copy Move Forgery Detection, Tampered images

With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. It is now possible to add, modify, or remove important features from an image without leaving any perceptual traces of tampering. With more than several million pictures uploaded daily to the net, and the introduction of e-Government services, it is becoming important to develop robust detection methods to identify image tampering operations. To this end, image forensics techniques aim at restoring trust and acceptance in digital media by uncovering tampering methods. Such detection techniques are the focus of this paper. In particular, we provide a survey of different forging detection techniques with a focus on copy and move approaches.

- by Prof. Dr. Muhammad Ali Qureshi
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- Survey, Image forensics, Copy Move Forgery Detection