TY - JOUR
T1 - Block Compressed Sensing Image Reconstruction Based on SL0 Algorithm
AU - Zhao, Juan
AU - Bai, Xia
AU - Xiao, Jieqiong
N1 - Publisher Copyright:
© 2017 Editorial Department of Journal of Beijing Institute of Technology .
PY - 2017/9/1
Y1 - 2017/9/1
N2 - By applying smoothed l0 norm (SL0) algorithm, a block compressive sensing (BCS) algorithm called BCS-SL0 is proposed, which deploys SL0 and smoothing filter for image reconstruction. Furthermore, BCS-ReSL0 algorithm is developed to use regularized SL0 (ReSL0) in a reconstruction process to deal with noisy situations. The study shows that the proposed BCS-SL0 takes less execution time than the classical BCS with smoothed projected Landweber (BCS-SPL) algorithm in low measurement ratio, while achieving comparable reconstruction quality, and improving the blocking artifacts especially. The experiment results also verify that the reconstruction performance of BCS-ReSL0 is better than that of the BCS-SPL in terms of noise tolerance at low measurement ratio.
AB - By applying smoothed l0 norm (SL0) algorithm, a block compressive sensing (BCS) algorithm called BCS-SL0 is proposed, which deploys SL0 and smoothing filter for image reconstruction. Furthermore, BCS-ReSL0 algorithm is developed to use regularized SL0 (ReSL0) in a reconstruction process to deal with noisy situations. The study shows that the proposed BCS-SL0 takes less execution time than the classical BCS with smoothed projected Landweber (BCS-SPL) algorithm in low measurement ratio, while achieving comparable reconstruction quality, and improving the blocking artifacts especially. The experiment results also verify that the reconstruction performance of BCS-ReSL0 is better than that of the BCS-SPL in terms of noise tolerance at low measurement ratio.
KW - Block
KW - Compressed sensing (CS)
KW - Smoothed l norm (SL0)
UR - http://www.scopus.com/inward/record.url?scp=85043492582&partnerID=8YFLogxK
U2 - 10.15918/j.jbit1004-0579.201726.0311
DO - 10.15918/j.jbit1004-0579.201726.0311
M3 - Article
AN - SCOPUS:85043492582
SN - 1004-0579
VL - 26
SP - 357
EP - 366
JO - Journal of Beijing Institute of Technology (English Edition)
JF - Journal of Beijing Institute of Technology (English Edition)
IS - 3
ER -