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Polar Coordinate and Discrete Wavelet-Based Approach For Copy-Move Forgery Detection |
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PP: 211-219 |
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doi:10.18576/amis/13S122
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Author(s) |
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S. Devi Mahalakshmi,
K. Vijayalakshmi,
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Abstract |
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| In recent years, digital images have become prevalent in all transactions of all organizations. Many governmental, legal, scientific, and news media organizations rely on digital images to make critical decisions or to use them as a photographic evidence of specific events. The digital image forgery is the process of manipulating the original photographic images to create the forged image. With the availability of powerful image editing tools, numerous image retouching techniques have become practical. Not all such image editing and alterations are harmful. However, malicious-intended modification of image content forms a serious threat to the secure and legal usage of digital images. Hence, there is a great need for digital forensic techniques which could detect such image alterations, forgeries and authenticate the images. The proposed method focuses on copy-move forgery detection using polar coordinate and discrete wavelet-based approaches. In polar coordinate approach, the image is divided into overlapping blocks and each block is converted into polar from which features are extracted. In discrete wavelet-based approach, wavelet-transformed image is divided into overlapping blocks and features are extracted. For similarly matching of blocks correlation coefficients are used. Experiments are conducted on the dataset provided by DVMM Columbia university for copy-move forgery detection. |
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