Open Access

Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum

EURASIP Journal on Advances in Signal Processing20062007:068985

https://doi.org/10.1155/2007/68985

Received: 17 July 2005

Accepted: 15 March 2006

Published: 13 September 2006

Abstract

Motion blur is one of the most common causes of image degradation. Restoration of such images is highly dependent on accurate estimation of motion blur parameters. To estimate these parameters, many algorithms have been proposed. These algorithms are different in their performance, time complexity, precision, and robustness in noisy environments. In this paper, we present a novel algorithm to estimate direction and length of motion blur, using Radon transform and fuzzy set concepts. The most important advantage of this algorithm is its robustness and precision in noisy images. This method was tested on a wide range of different types of standard images that were degraded with different directions (between and ) and motion lengths (between and pixels). The results showed that the method works highly satisfactory for SNR dB and supports lower SNR compared with other algorithms.

Keywords

Parameter EstimationInformation TechnologyPower SpectrumQuantum InformationLinear Motion

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Authors’ Affiliations

(1)
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

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Copyright

© Moghaddam and Jamzad 2007

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