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In the recent years,Wavelet transform has been proved to be a very useful tool for image processing. Modified fast haar wavelet transform (MFHWT) is one of the approach which reduces the calculation work in haar transform (HT) and fast haar transform (FHT). In the present communication, we applied modified fast haar wavelet on an input image to yields a highly reduced dimension representation. In this way, the number of image blocks of an image can be drastically reduced which improves the time efficiency of subsequent lexicographical sorting and similarity matching. This reduced dimension representation is split into fixed-size overlapping blocks and then ring projection transform is performed to each block for extract their features into a row vector. These extracted feature vectors are arranged in a matrix. Then, the feature vectors are sorted by a lexicographical order so that similar blocks would be consecutive. Finally, the duplicated blocks are filtered out by calculating the similarity value of correlation coefficient between two adjacent blocks. Obtained results show the performance of proposed algorithm, which is able to detect forgery with less computational time and also reduced dimension drastically as well as memory needed for the detection process of copy move image forgery.

Copy - Move Image Forgery Detection using Ring Projection and Modi_ed Fast Discrete Haar Wavelet Transform