Massive parallel computing of super-resolution with sparse representation

Hao Rong Ding, Chih Hung Kuo, Po Hung Kuo, Yan Tse Chuang

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
發行者IOS Press
頁面1043-1051
頁數9
ISBN(電子)9781614994831
DOIs
出版狀態Published - 2015
事件International Computer Symposium, ICS 2014 - Taichung, Taiwan
持續時間: 2014 十二月 122014 十二月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
國家/地區Taiwan
城市Taichung
期間14-12-1214-12-14

All Science Journal Classification (ASJC) codes

  • 人工智慧

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