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Erschienen in:
Effects of Stimulus Views on Mental Rotation of Hands: An Event-Related Potential Study Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

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

verfasst von : You Sheng Xia, Shi Quan Bin

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

Verlag: 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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Vorheriges Kapitel Decoupled Parameter Estimation for Coherently Distributed Source
Nächstes Kapitel Effects of Music’s Emotional Styles and Tempo on Driving Behavior and Eye Movement: A Driving Simulation Study
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Metadaten
Titel
A Novel Blind Image Restoration Algorithm Using A SVR-Based Noise Reduction Technique
verfasst von
You Sheng Xia
Shi Quan Bin
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Foundations and Practical Applications of Cognitive Systems and Information Processing

Print ISBN: 978-3-642-37834-8

Electronic ISBN: 978-3-642-37835-5

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-37835-5_48