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JPEG compression is a common standard for storing images. Its intrinsic lossy compression scheme, helps forensic analysts to disclose the history of the image by analyzing the histogram of discrete cosine transform (DCT) coefficients. In this paper, we propose a novel method based on sparse representation of the image, over learned over-complete dictionaries to conceal the statistical evidences of...
Face recognition in JPEG compressed domain has turned into one of the important standpoints for reducing the computational overhead of decompression process without degradation in recognition accuracy. This domain needs some efficient methods for preselecting compressed coefficients and performing recognition process, which leads to improving the recognition rates and decreasing the computational...
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