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We present double random projection methods for reconstruction of imaging data. The methods draw upon recent results in the random projection literature, particularly on low-rank matrix approximations, and the reconstruction algorithm has only two simple and noniterative steps, while the reconstruction error is close to the error of the optimal low-rank approximation by the truncated singular-value...
In this paper we propose a novel invisible digital watermarking scheme based on singular value decomposition (SVD). In the proposed method, we first divide the image into 8x8 sub blocks, and then each block is decomposed by SVD. The second and third singular values of each block are exchanged if the watermark bit is 1, so the order of the SVs is not in the original descending order any more. This...
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