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Center of confusion estimation for out-of-focus images based on bispectrum

Nargesian, F ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICCIMA.2007.115
  3. Publisher: 2008
  4. Abstract:
  5. In this paper a new method for out-of-focus blur estimation and restoration in presence of Gaussian noise is proposed. This method is based on Bispectrum transformation. It has been proved that functions with Gaussian distribution are suppressed in Bispectrum domain. The image blur criterion is estimated using information in image Bispectrum transformation. Then, an inverse filter is used for blurred image restoration. Experimental results show satisfactory performance of presented method in degradation function parameter estimation in comparison with other algorithms. This superiority is especially obvious in restoration of noisy images, since most of the methods do not take into account noise effects in estimation of out-of-focus degradation function parameters. © 2007 IEEE
  6. Keywords:
  7. Gaussian distribution ; Gaussian noise (electronic) ; Parameter estimation ; Wavelet transforms ; Bispectrum transformation ; Confusion estimation ; Out-of-focus images ; Image reconstruction
  8. Source: International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007, Sivakasi, Tamil Nadu, 13 December 2007 through 15 December 2007 ; Volume 3 , 2008 , Pages 501-506 ; 0769530508 (ISBN); 9780769530505 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4426418