Hi! This is Tawheed jan Shah i would like to get details on copy move image forgery detection. I have a color image and i first want to divide the image into overlapping blocks and then extract features from it. may i get some help regarding this problem.
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The detection of image counterfeits is currently one of the fields of research interested in image processing. Counterfeiting copy and move (CM) is one of the most used techniques. In this paper, we propose a method that is efficient and fast to detect copy-move regions. The proposed method accelerates the block matching strategy. First, the image is divided into fixed size overlay blocks and then a discrete cosine transform is applied to each block to represent its characteristics. The k-means fast grouping technique is used to group the blocks into different classes. Zigzag scanning is performed to reduce the length of each vector of block characteristics. The characteristic vectors of each cluster block are lexicographically sorted by radix ordering, the correlation between each nearby block indicates its similarity. The experimental results show that the proposed method can efficiently detect duplicate regions and reduce the processing time to 50% of other previous works.