Block compressed sensing of images using directional transforms

Data Compression Conference, pp.547-3024, (2010)

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Abstract

Block-based random image sampling is coupled with a projection-driven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while...More

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