Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization
Incorporate patch-based redundant sparse representation into compressive sensing recovery of natural images. Characterize the redundant sparse representation using adaptively learned sparsifying basis via L0 norm. Propose a new framework for image compressive sensing recovery using adaptive learned sparsifying basis via L0 minimization. Develop a split Bregman iteration based method to solve the above L0 minimization efficiently.
compressive sensing sparsifying basis image recovery sparsity optimization