Cover
Vol. 9 No. 1 (2009)

Published: June 30, 2009

Pages: 131-142

Original Article

A Modified Fixed Phase Iterative Recovery Algorithm for Restoration of Gray-Scale Blurred Images

Jassim M. Abdul-Jabbar 1
1 Department of Computer Engineering, College of Engineering, University of Basrah
History
  • Received: March 30, 2009
  • Available Online: June 30, 2009
DOI

https://doi.org/10.33971/bjes.9.1.13

Abstract

A novel iterative method for the restoration of gray-scale blurred images is presented. The method is an enhanced modification of the Fixed-Phase Iterative Algorithm (FPIA). A blurred image is enhanced by Laplace operator during the FPIA method on each iteration. This modification is originally supported theoretically by a derivation of some iterative deblurring methods that are based on the enhanced version of the blurred image instead of the blurred image itself only. The modified fixed phase iterative algorithm (MFPIA) method is examined to restore some Gaussian-and motion-blurred gray-scale images. The restored Images via this proposed method are compared with the original FPIA method. From the comparison, it is apparent that the MFPIA method is better from human visual measurements point of view with less number of iterations. In addition to that benefit the restoration by the FPIA method results in images of bad quality even with high number of iterations.

References

  1. Gomes J. & Luiz V., Image Processing for Computer Graphics, Rio De Janiero, Brazil, 1997.
  2. Umbaugh S. E., Computer Vision and Image Processing, Prentice-Hall, Inc., USA, 1998.
  3. Aggelos K. K., "Iterative Image Restoration Algorithm", Optical Engineering, Vol. 28, No. 7, p 735-748, July 1989.
  4. Deepa Kundur & Dimitrios Hatinakos, "On the Use of Lyapanov Criteria tu Analyze the Convergence of Blind Deconvolution Algorithms", IEEE Transactions on Signal Processing, Vol. 46, No. 11, p 2918-2925, Nov 1998.
  5. Cabir Vural & William A. Sethares, "Recursive Blind Image deconvolution Via Dispersion Minimization", University of Wisconsin-Madison, 2002.
  6. Image Processing Toolbox on Matlab Help "Version 6.1".
  7. Zho Ren F. & Zhou Hui, "The Fixed-Phase Iterative Algorithm Recovery of Blurred Image", ICSP, 2000.
  8. Pratt W. K.. Digital Image Processing, Jhon Wiley & Sons, USA, 1978.
  9. Xin Miao, "Image restoration: Removal of Blur Caused by Uniform Linear Motion", University of California at Berkeley, 2000. http://www.cnr.berkeley.edu/~miaoxin/research/deblurring/Deblurring.htm
  10. Starck J. L. and Pantin E., "Deconvolution in Astronomy: A Review", 2002. http://jstarck.free.fr/pasp02.pdf