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A parallel algorithm for image information restoration

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

An image information restoration algorithm based on Long-Range correlation (LR-IIRA) can be efficiently applied in image interpretation, restoration, and error concealment. But this algorithm requires excessive computing time, which restricts its application on large-scale problems and real time problems. We propose a parallel LR-IIRA algorithm (PLR-IIRA) to parallelize the restoration processing on a Dawning 2000 cluster system. Meanwhile, a new distributed processing method (Scatter-Gather) is proposed for our PLA-IIRA. To reduce communication, a key position technique is used in our PLA-IIRA. From theory analysis and experimental results, it shows that the computing time of LR-IIRA can be reduced greatly on the cluster system, and PLA-IIRA has high speedup and efficiency. The scalability of PLA-IIRA is good. PLA-IIRA provides a new efficient way for real time application of LR-IIRA.

Published in:

High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on  (Volume:2 )

Date of Conference:

14-17 May 2000