TY - GEN
T1 - Massive parallel computing of super-resolution with sparse representation
AU - Ding, Hao Rong
AU - Kuo, Chih Hung
AU - Kuo, Po Hung
AU - Chuang, Yan Tse
N1 - Publisher Copyright:
© 2015 The authors and IOS Press. All rights reserved.
PY - 2015
Y1 - 2015
N2 - Among Super-Resolution reconstruction methods, the patch-based computation to find the sparse prior can achieve better reconstruction results. The computing for this method is time-consuming. To overcome this problem, we propose a GPU(Graphic Processing Unit) based algorithm to speed up the process and achieve 7.2 times faster than the original method. We also implement the method of modified LASSO(Least Absolute Shrinkage and Selection Operator) to find sparse priors, which can achieve 13.9 times faster.
AB - Among Super-Resolution reconstruction methods, the patch-based computation to find the sparse prior can achieve better reconstruction results. The computing for this method is time-consuming. To overcome this problem, we propose a GPU(Graphic Processing Unit) based algorithm to speed up the process and achieve 7.2 times faster than the original method. We also implement the method of modified LASSO(Least Absolute Shrinkage and Selection Operator) to find sparse priors, which can achieve 13.9 times faster.
UR - http://www.scopus.com/inward/record.url?scp=84926507178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84926507178&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-484-8-1043
DO - 10.3233/978-1-61499-484-8-1043
M3 - Conference contribution
AN - SCOPUS:84926507178
T3 - Frontiers in Artificial Intelligence and Applications
SP - 1043
EP - 1051
BT - Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
A2 - Chu, William Cheng-Chung
A2 - Chao, Han-Chieh
A2 - Yang, Stephen Jenn-Hwa
PB - IOS Press BV
T2 - International Computer Symposium, ICS 2014
Y2 - 12 December 2014 through 14 December 2014
ER -