Linear Motion Deblurring from Single Images Using Genetic Algorithms
El-Regaily, S., El-Messiry, H., Abd El-Aziz, M., Roushdy, M. (2011). Linear Motion Deblurring from Single Images Using Genetic Algorithms. EKB Journal Management System, 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011), 1-11. doi: 10.21608/asat.2011.23394
S. El-Regaily; H. El-Messiry; M. Abd El-Aziz; M. Roushdy. "Linear Motion Deblurring from Single Images Using Genetic Algorithms". EKB Journal Management System, 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, 2011, 1-11. doi: 10.21608/asat.2011.23394
El-Regaily, S., El-Messiry, H., Abd El-Aziz, M., Roushdy, M. (2011). 'Linear Motion Deblurring from Single Images Using Genetic Algorithms', EKB Journal Management System, 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011), pp. 1-11. doi: 10.21608/asat.2011.23394
El-Regaily, S., El-Messiry, H., Abd El-Aziz, M., Roushdy, M. Linear Motion Deblurring from Single Images Using Genetic Algorithms. EKB Journal Management System, 2011; 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011): 1-11. doi: 10.21608/asat.2011.23394

Linear Motion Deblurring from Single Images Using Genetic Algorithms

International Conference on Aerospace Sciences and Aviation Technology
Article 80, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Page 1-11  XML PDF (970.78 K)
Document Type: Original Article
DOI: 10.21608/asat.2011.23394
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Authors
S. El-Regaily1; H. El-Messiry2; M. Abd El-Aziz3; M. Roushdy4
1Demonstrator, Basic Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.
2Assistant professor, Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.
3Assistant professor, Basic Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.
4Professor, Dean of Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.
Abstract
One of the key problems of restoring a degraded image from motion blur is the estimation of the unknown linear blur filter from a single blurred input image. Several algorithms have been proposed utilizing image intensity or gradient information. In this paper, we propose an algorithm for restoring the motion-blurred image using Genetic Algorithms. Genetic Algorithms are applied in science and engineering as adaptive algorithms for optimizing practical problems. Certain classes of problem are particularly suited and being tackled effectively with Genetic Algorithm based approach. The direction and the length of the motion blur Point Spread Function (PSF) are used as the parameters of the algorithm. The method assumes a uniform linear camera blur over the image. Experiments on a wide data set of standard images degraded with different directions and blur lengths demonstrate the efficiency of the proposed approach in small blur lengths compared to other algorithms, with a better average Root Mean Squared Error of two values. Experiments also show how ringing artifacts affect the behavior of the algorithm in large blur lengths.
Keywords
Camera Shake; Blind Image Deconvolution; Genetic Algorithms; Ringing Artifacts
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