A Fast BPNN Based Image Deblurring Method

Abstract:

This paper proposes a fast deblurring method based on back propagation neural networks (BPNN), in which the symmetry of blur function is utilized to reduce the size of network. In the image block used to be training vector, the pixels that have the same distance with centrral pixel are set the same weight in BPNN. This set of weight is realized by adding all the pxiels that have the same distance to be one input data of BPNN. Comparing with the classic BPNN based deblurring method in which the symmetry of blur function is not considered, the proposed method decreased the computation consumption largely. At the same time, the performance of proposed method is improved. Several experiments results testify the superiority of proposed deblurring method.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 1642-1646
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.1642
• Online since: September 2013
• Authors: Xiao Zhi Ren, Bin Chao Bin
• Keywords: Back Propagation Neural Networks, Blur Function, Image Deblurring

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