Blind image deconvolution via particle swarm optimization with entropy evaluation

Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008

Volumn 2, Issue , 2008, Pages 265-270

  Sun, Tsung Ying ^a   Liu, Chan Cheng ^a   Jheng, Yu Peng ^a   Jheng, Jyun Hong ^a   Tsai, Shang Jeng ^a   Hsieh, Sheng Ta ^b  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^b ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND IMAGE DECONVOLUTION; BLURRED IMAGE; CONVENTIONAL ALGORITHMS; EVOLUTIONARY LEARNING; LOCAL SOLUTION; OBJECTIVE FUNCTIONS; ORIGINAL IMAGES; POINT-SPREAD FUNCTIONS; STATE OF THE ART;

CONVOLUTION; DECONVOLUTION; EDUCATION; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; OPTICAL TRANSFER FUNCTION; SYSTEMS ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67449136134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2008.238     Document Type: Conference Paper

References (21)

1. Y. L. You and M. Kaveh, "A regularization approach to joint blur and image restoration," IEEE Trans. on Image Processing, vol. 5, no. 3, pp.416-428, 1996.
2. O. Michailovich and D. Adam, "A novel approach to the 2-D blind deconvolution problem in medical ultrasound," IEEE Trans. on Medical Imaging, vol. 24, no. 1, pp. 86-104, 2005.
3. T. J. Schultz, "Multiframe blind deconvolution of astronomical images," Journal of the Optical Society of America-A, vol. 10, p. 1064-1073, 1993.
4. P. Campisi and K. Egiazarian, Blind image deconvolution theory and applications, CRC Press, 2006.
5. D. Kundur and D. Hatzinakos, "A novel blind deconvolution scheme for image restoration using recursive filtering," IEEE Trans. on Signal Processing, vol. 46, no. 2, pp. 375-390, 1998.
6. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Processing Magazine, pp. 43-64, 1996.
7. K. H. Yap, L. Guan, and W. Liu, "A recursive soft-decision approach to blind image deconvolution," IEEE Trans. on Signal Processing, vol. 51, no. 2, pp. 515-526, 2003.
8. K. H. Yap and L. Guan, "A computational reinforced learning scheme to blind image deconvolution," IEEE Trans. on Evolutionary Computation, vol. 6, no. 1, pp. 2-15, 2002.
9. C. Vural and W. A. Sethares, "Blind image deconvolution via dispersion minimization," Digital Signal Processing, vol. 16, pp. 137-148, 2006.
10. H. Yin and I. Hussain, "Blind source separation and genetic algorithm for image restoration," Proceeding of Conf. on Advances in Space Technologies, pp. 167-172, 2006.
11. S. Gabarda and G. Cristobal, "An evolutionary blind image deconvolution algorithm through the pseudo-Wigner distribution," Journal of Visual Communication & Image Pepresentation, vol. 17, pp. 1040-1052, 2006.
12. W. H. Richardson, "Bayesian-based iterative method of image restoration," Journal of the Optical Society of America, vol. 62, no.1, pp. 55-59 1972.
13. L. B. Lucy, "An iterative technique for the rectification of observed images," The Astronomical Journal, vol. 79, no. 6, pp. 745-754, 1974.
14. D. S. C. Biggs and M. Andrews, "Acceleration of iterative image restoration algorithms," Applied Optics, vol. 36, pp. 1766- 1775, 1997.
15. D. A. Fish, A. M. Brinicombe, E. R. Pike, and J. G. Walker, "Blind deconvolution by means of the Richardson-Lucy algorithm," Journal of Optics Society America, vol. 12, no. 1, pp. 58-65, 1995.
16. R. Eberhart and J. Kennedy, " A new optimizer using particle swarm theory," in Proc. 6th International Symposium Micro Machine and Human, 1995, pp. 39-43.
17. V. G. Gudise and G. K. Venayagamoorthy, "Comparison of particle swarm optimization and Backpropagation as Training Algorithms for Neural Networks," in Proc. IEEE Swarm Intelligence Symposium, 2003, pp. 110-117.
18. S. T. Hsieh, T. Y Sun, C. L. Lin, and C. C. Liu, "Effective Learning Rate Adjustment of Blind Source Separation Based on an Improved Particle Swarm Optimizer," IEEE Trans. on Evolutionary Computation, Vol. 12, No. 2, pp. 242-251, 2008.
19. T. Y. Sun, C. C. Liu, S. T Hsieh, and S. J. Tsai, "Blind Separation with Unknown Number of Sources Based on Auto-trimmed Neural Network," Neurocomputing, vol. 71, pp. 2271-2280, 2008.
20. Y. S. Chen and F. C. Meng, "Image quality measurement based on statistics of activity regions," Journal of the Chinese Institute of Engineers, vol. 24, no. 3, pp. 379-388, 2001.
21. R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall, 2002.