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
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;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884518
