The image copy-move detection algorithm based on Gaussian pyramid decomposition and circular harmonic Fourier moments

Aiming at the problem that the space and time complexity of digital image copy-move detection algorithm are very high because of the movement of image sub-block sliding window approach,the detection algorithm based on Gaussian pyramid decomposition and circular harmonic Fourier moments was proposed.The algorithm firstly finished the Gaussian pyramid decomposition of the image and extracted the low frequency component of image,then calculated 3-circular harmonic Fourier moments of each image sub-block and completed the dictionary sort to feature vector of each image sub-block,finally further find the image copy-taste area according to various threshold.The experimental results showed that this algorithm had good detection effects for the tampered image added noise or compression again,and less compution.