Improving Copy-Move Forgery Detection Time by Using DCT, Correlation and SOBEL Edge Detector
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 1
Abstract
Copy move image forgery is often used in which region of an image is copied and pasted at another location to hide an important scene, clone or duplicate the number of aspects in the same image. Block representing have been suggested to detect copy-move forgery but one of the major issues of this method is detection time. Image authentication technique is proposed which is based on DCT and Sobel operator to detect copy-move forgery with less detection time. Discrete cosine transform is used to compress an image and introduce blocking artifacts at the block boundaries which helps to detect forgery. The Compressed image is divided into 8*8 overlapping blocks and correlation is computed between blocks to extract the forged region. Edges of forged region are detected by Sobel edge detection. Proposed method improves the detection time, precision, recall, and accuracy. It is robust to rotation, scaling, blurring, noise, brightness, and multiple copy-move forged regions.
Authors and Affiliations
Harpreet kaur, Sheenam Malhotra
Keywords
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