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The newly emerging sampling methodology of compressed sensing opens a door to obtain compressed data directly. How to efficiently reconstruct the original signal from the compressed data becomes a new challenge problem. Many reconstruction works have been proposed on mono-view images by exploring the sparsity of the original image, how ever it is a challenge to efficiently explore the correlations...
In this paper, we propose a novel video denoising method applying 3D Context Model in Surfacelet Transform domain (3DCMST). Because of its directional decomposition, perfect reconstruction and low redundancy, ST has being become a powerful tool in image processing and analysis. In order to take fully advantage of the characteristic of the coefficients in ST domain, the Context model is extended from...
Due to resource constraints, digital image transmissions are a significant challenge for image sensor based wireless sensor networks (WSN). In this paper, we propose a novel robust and energy-efficient scheme, called image component transmission (ICT) in WSN by providing various levels of reliability during image transmissions. Essential components such as the information for the positions of significant...
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