Parallel image dehazing algorithm based on GPU using fuzzy system and hybird evolution algorithm

Che Lun Hung, Ren You Yan, Hsiao Hsi Wang

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

Haze is an atmospheric phenomenon that fogs the visibility of the scenes. Removing the haze has been an important issue in image processing technologies. Many image dehazing technologies with evolution algorithms have been proposed to remove the fog in the image. However, these algorithms usually are compute-intensive. In this paper, we propose a parallel hybrid evolution algorithm based on GPU to enhance the computational performance. In traditional evolution algorithms, the calculation of fitness function occupies the most of the computation time. In the proposed method, we implement this part on GPU by using CUDA framework to reduce the computational load. The experiment results show that the proposed method can remove the haze efficiently and successfully.

原文English
主出版物標題2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016
編輯Yihai Chen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面581-583
頁數3
ISBN(電子)9781509022397
DOIs
出版狀態Published - 18 7月 2016
事件17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 - Shanghai, China
持續時間: 30 5月 20161 6月 2016

出版系列

名字2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016

Conference

Conference17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016
國家/地區China
城市Shanghai
期間30/05/161/06/16

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