DocumentCode
1790582
Title
Filter-aided recovery for block-based compressive sensing of images
Author
Phuong Minh Pham ; Khanh Quoc Dinh ; Thuong Nguyen Canh ; Byeungwoo Jeon
Author_Institution
Sch. of Electron. & Telecommun., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
fYear
2014
fDate
22-25 June 2014
Firstpage
1
Lastpage
2
Abstract
This paper proposes a recovery algorithm for block-based compressive sensing of images, which iteratively performs a compressive sensing recovery and a denoising processes. The compressive sensing recovery is performed by MH-BCS-SPL, whereas the denoising is by BM3D. Experimental results show the superiority of the proposed recovery algorithm.
Keywords
compressed sensing; image coding; image denoising; iterative methods; BM3D; MH-BCS-SPL; block-based image compressive sensing; compressive sensing recovery; denoising process; filter-aided recovery algorithm; iterative method; Compressed sensing; Educational institutions; Filtering; Sensors; Three-dimensional displays; Wiener filters; BM3D filter; MH-BCS-SPL; compressive sensing recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location
JeJu Island
Type
conf
DOI
10.1109/ISCE.2014.6884518
Filename
6884518
Link To Document