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Iterative Projective Gabor Method for Images Filtering

  • Research Article - Electrical Engineering
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Abstract

This paper describes a method for de-noising images by thresholding Gabor transforms recursively. A new localized estimation of the noise standard deviation is obtained. It is shown that the algorithm converges globally using a few number of iterations. Experimental results show a remarkable improvement compared with the wavelet based de-noising methods (SureShrink and BayesShrink).

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Authors and Affiliations

  1. Basic Science Department, Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tamer Nabil

  2. Mathematics Department, Faculty of Sciences, King Khalid University, P.O. Box 9004, Abha, 16321, Kingdom of Saudi Arabia

    Tamer Nabil

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  1. Tamer Nabil
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Correspondence to Tamer Nabil.

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Nabil, T. Iterative Projective Gabor Method for Images Filtering. Arab J Sci Eng 38, 2745–2753 (2013). https://doi.org/10.1007/s13369-012-0489-6

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  • DOI: https://doi.org/10.1007/s13369-012-0489-6

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