Title :
Hybrid Kronecker compressive sensing for images
Author :
Thuong Nguyen Canh ; Khanh Quoc Dinh ; Byeungwoo Jeon
Author_Institution :
Sch. of Electron. & Electr. Eng., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
Natural images has certain level of both similarity and difference which can be efficiently represented by deterministic and random sensing matrices in compressive sensing. In this context, a hybrid sensing matrix which combines a deterministic DCT and a random matrix, is recently investigated. In this paper, we bring the concept of hybrid sensing matrix into Kronecker compressive sensing (KCS) of images. Extensive experiment has shown that the proposed hybrid KCS method performs better than either fully random or deterministic DCT matrix, and comparatively with other state-of the-art sensing schemes in terms of reconstruction quality.
Keywords :
compressed sensing; discrete cosine transforms; image coding; image reconstruction; hybrid Kronecker compressive sensing; hybrid sensing matrix; natural images; random matrix; reconstruction quality; Digital TV; Image coding; Image reconstruction; PSNR; Sensors; Size measurement; Video coding; DCT kernel; Kronecker compressive sensing; hybrid sensing matrix; total variation;
Conference_Titel :
Advanced Technologies for Communications (ATC), 2014 International Conference on
Print_ISBN :
978-1-4799-6955-5
DOI :
10.1109/ATC.2014.7043450