Title :
A new block compressive sensingto control the number of measurements
Author :
Lee, Hyungkeuk ; Oh, Heeseok ; Lee, Sanghoon
Author_Institution :
Wireless Network Lab., Yonsei Univ., Seoul, South Korea
Abstract :
Compressive Sensing (CS) aims to recover a sparse signal from a small number of projections onto random vectors. Because of its great practical possibility, both academia and industries have made efforts to develop the CS´s reconstruction performance, but most of existing works remain at the theoretical study. In this paper, we propose a new Block Compres-sive Sensing (nBCS), which has several benefits compared to the general CS methods. In particular, the nBCS can be dynamically adaptive to varying channel capacity because it conveys the good inheritance of the wavelet transform.
Keywords :
data compression; random processes; signal representation; signal restoration; vectors; wavelet transforms; block compressive sensing; channel capacity variation; random vectors; signal representation; sparse signal recovery; wavelet transform; Compressed sensing; Distortion measurement; Image coding; Image reconstruction; PSNR; Transforms; Vectors; Block Compressive Sensing; Compressive Sensing; Wavelet Transform;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116229