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Proceedings Paper

Multiresolution image denoising based on wavelet transform
Author(s): Aboul Ella Hassanien; I. El Henawy; Hala S. Own
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Paper Abstract

Wavelet-based image denoising is very attractive to analysis and synthesis functions. It enables us to divide a complicated function into several simpler ones and study them individually. In this paper, we present a new image-denoising algorithm based on multiresolution local contrast entropy of the wavelength coefficients. We introduce a new adaptive threshold estimation depending on the probability distribution of the noise in the wavelet coefficients. This threshold enables the proposed algorithm to be adaptive to unknown smoothness of the denoising images. The experiment confirms that the proposed approach is cable of achieving good results for additive white Gaussian noise.

Paper Details

Date Published: 5 December 2001
PDF: 12 pages
Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); doi: 10.1117/12.449725
Show Author Affiliations
Aboul Ella Hassanien, Cairo Univ. (Egypt)
I. El Henawy, Mansoura Univ. (Egypt)
Hala S. Own, National Research Institute for Astronomy and Geophysics (Kuwait)


Published in SPIE Proceedings Vol. 4478:
Wavelets: Applications in Signal and Image Processing IX
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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