A basis selection method for compressed sensing of dynamic images based on distribution of compressed signals

摘要

In this article, we propose a basis selection method that selects a new basis that improves sparseness in compressed sensing of dynamic images. Different from existing methods, the proposed method improves the basis used for representing images based only on a set of compressed ones.