Restoration of Motion Blurred Image Based on PSO Combine Wiener Filter in Ship Imaging System

Abstract:

Ship internal equipment vibration will cause the imaging system platform vibration, resulting in blurred images. Wiener Filter is often used to restore the motion blurred image. The principle of the method expects to minimize the mean square error between the restore image and original image. However, this method has some constrains, if parameter selection improper, it generates ringing effect easily. Usually, most users select parameter by rule of thumb, so they frequently fail to generate the optimal solution. In order to get high quality restore image, eliminate the ringing effect, a new approach based on particle swarm optimization (PSO) Wiener Filter was proposed, which automatically adjusts the parameter for Wiener Filter, this method seek the optimal solution by transferring information between individuals and information sharing, which is a highly efficient parallel search algorithm, insuring the accuracy of parameter selection, effectively reducing the ringing effect after image restoration, improve image quality of restoration.

• Periodical: Advanced Materials Research (Volumes 1006-1007)
• Pages: 739-742
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.739
• Online since: August 2014
• Authors: Hui Xuan Fu*, Yu Chao Wang, Xun Su
• Keywords: Motion-Blur, Particle Swarm Optimization (PSO), Ship Imaging, Wiener Filter

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