Paper Title:
Parallel Best Neighborhood Matching Algorithm on PC Cluter Platform
  Abstract

Best Neighborhood Matching (BNM) has been shown to be an effective technique to recover a broken image due to a failed network transmission. For high definition image, the time of recovering using BNM algorithm is relative too long and not suitable for real time processing. And the original BNM only targets at gray scale image, and not considers the color image case. In this paper, we extend the BNM algorithm to color image area and use PC clusters to parallelly recover the image and improve the processing speed dramatically. The experiment result from a four nodes cluster system shows that our parallel BNM implementation improves the processing speed up to 7.52 times without any obvious recover quality decrease.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 17: Manufacturing Process Planning and Scheduling
Edited by
Wu Fan
Pages
4109-4114
DOI
10.4028/www.scientific.net/AMR.383-390.4109
Citation
Y. Y. Zhang, L. Q. He, "Parallel Best Neighborhood Matching Algorithm on PC Cluter Platform", Advanced Materials Research, Vols. 383-390, pp. 4109-4114, 2012
Online since
November 2011
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Price
$32.00
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