Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

A Fast BPNN Based Image Deblurring Method

Authors
Xiaozhi Ren, Binchao Bin
Corresponding Author
Xiaozhi Ren
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.782How to use a DOI?
Keywords
image deblurring, back propagation neural networks, blur function.
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.
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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.782How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaozhi Ren
AU  - Binchao Bin
PY  - 2013/03
DA  - 2013/03
TI  - A Fast BPNN Based Image Deblurring Method
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.782
DO  - https://doi.org/10.2991/iccsee.2013.782
ID  - Ren2013/03
ER  -