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

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 068985 (2006) Cite this article

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.

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Authors and Affiliations

  1. Department of Computer Engineering, Sharif University of Technology, Tehran, 11365-8639, Iran

    Mohsen Ebrahimi Moghaddam & Mansour Jamzad

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  1. Mohsen Ebrahimi Moghaddam
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  2. Mansour Jamzad
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Correspondence to Mohsen Ebrahimi Moghaddam.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Moghaddam, M.E., Jamzad, M. Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum. EURASIP J. Adv. Signal Process. 2007, 068985 (2006). https://doi.org/10.1155/2007/68985

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