By Topic

A jump and look all round long range image restoration and its parallelism

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wen Li ; Inst. of Comput. Technol., Acad. Sinica, Beijing, China ; Dapeng Zhang ; Zhiyong Liu ; Xiangzhen Qiao

An image information restoration algorithm based on long-range correlation (LR-IIRA) can be efficiently applied in image interpretation, restoration and error concealment. However, this algorithm requires excessive computing time, which restricts its application to large-scale problems and real-time problems. We propose an improved LR-IIRA, named jumping and looking all round (JL-LR-IIRA). By using this algorithm, the computing time can be reduced to 1/6 of LR-IIRA's, i.e., the computing time is 14.17 (seconds) by LR-IIRA and 2.41 (s) by JL-LR-IIRA. To reduce the processing time further, a parallel JL-LR-IIRA algorithm (PJL-LR-IIRA) to parallelize the restoration processing is proposed. In our PJL-LR-IIRA, after we analyze data distribution and communication deeply, a parallel read method and a key position technique are presented. By using our PJL-LR-IIRA on four computing nodes on the Dawning 2000 cluster system, the processing time is 0.69 (second). PJL-LR-IIRA provides a new efficient way for real-time image restoration applications. Furthermore, from theoretical analysis and experiment results, it shows that the scalability of our PJL-LR-IIRA is good. So PJL-LR-IIRA is also a new efficient way for large-scale image restoration applications

Published in:

Parallel Processing, 2000. Proceedings. 2000 International Workshops on

Date of Conference: