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2014 | OriginalPaper | Chapter

A Novel Blind Image Restoration Algorithm Using A SVR-Based Noise Reduction Technique

Authors : You Sheng Xia, Shi Quan Bin

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

In many applications, the received image is degraded by unknown blur and noise. Traditional blind image deconvolution algorithms have drawback of noise amplification. For robustness against the influence of noise, this paper proposes a novel blind image deconvolution algorithm by combining the support vector regression (SVR) approach and the total variation approach. The proposed algorithm has a lower computational complexity and a good performance in image denoising and image deblurring. Illustrative examples show that the proposed blind image deconvolution algorithm and has better performance in improvement signal-to-noise ratio than two traditional blind image restoration algorithms.

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Metadata
Title
A Novel Blind Image Restoration Algorithm Using A SVR-Based Noise Reduction Technique
Authors
You Sheng Xia
Shi Quan Bin
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37835-5_48

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