Title :
A basis selection method for compressed sensing of dynamic images based on distribution of compressed signals
Author :
Asai, Takeshi ; Hontani, Hidekata
Author_Institution :
Nagoya Inst. of Technol., Nagoya, Japan
Abstract :
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.
Keywords :
data compression; signal processing; compressed signals distribution; dynamic images compressed sensing; Compressed sensing; Image coding;
Conference_Titel :
Networked Sensing Systems (INSS), 2009 Sixth International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-6313-8
Electronic_ISBN :
978-1-4244-6314-5
DOI :
10.1109/INSS.2009.5409915
