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Most existing sparse representation-based video denoising algorithms assume video noise is additive Gaussian white noise, which is often violated in practice. In this paper, a robust Kronecker product video denoising (RKPVD) algorithm based on fractional-order total variation model is proposed to remove serious mixed Gaussian-impulse noises from the video data. Using the temporal and spatial correlations...
The basic theories and techniques in compressive sensing (CS) are established on the sampling and reconstruction of one-dimensional (1D) signals. When it is applied to two-dimensional (2D) images, the images are first stacked in a large vector. However, this vectorization not only destroys the spatial structure of the 2D image, but also increases computational complexity and memory requirements. As...
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