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Compressed sensing based on sparsity has been concerned in the field of signal reconstruction. Meanwhile nonsubsampled contourlet transform, proposed as a development to contourlet, not only provides flexible multi-scale, multi-direction sparse image decomposition, but also features with shift-invariance property which is beneficial to image denoising. This paper combines threshold operatoion in nonsubsampled...
Compressed sensing gains great attention in the field of signal reconstruction. In order to deal with some practical cases in which the sparsity levels are unknown, this paper proposes an energy-based adaptive matching pursuit (EAMP) algorithm for binary sparse signal reconstruction in the compressed sensing framework. The EAMP algorithm inherits the feature of the sparsity adaptive matching pursuit...
Perceived from the definition of compressed sensing (CS), the sparser the signal is, the better the recovery will be. Meanwhile, the third-generation wavelet-contourlet is able to sparsely represent signals and detect the singularity of smooth curve. Taking into account the mixed noise from random projection of CS model, we are trying to carry out the following: let the image transformed into contourlet...
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