Multiresolution image denosing based on wavelet transform

• Autorzy: Hassanien A. E. , El Henawy I. , Own H.
• Języki publikacji: EN

Abstrakty

EN

Wavelet-based image denoising is a very attractive tool for analysis and syntesis of functions. It enables us to divide a complicated function into several simpler ones and study them individually. In this paper, we presents a new image-denoising algorithm based on multiresolution local contrast entropy of wavelet coefficients. Depending on the propability distribution of the noise in the wavelet coeficients, a new adaptive threshold estimation algorithm is introduced. This threshold enables the proposed algorithm to adapt unknown smoothness of denoised images. The experiments performed confirm that the proposed algorithm is capable of achieving good results for additive white guassian noise.

Słowa kluczowe

EN

multiresolution; local contrast entropy; denoising; wavelet transform; thresholding; image processing

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2001
• Tom: Vol. 10, No. 2
• Strony: 221--230
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Hassanien A. E.

autor

El Henawy I.

autor

Own H.

• IT Department, Faculty of Computers and Information, Cairo University