An Approach for Image Denoising Based on Edge Soft-Judgement

Author

Bai, Yang ; Shen, Tingzhi ; Zhu, Yaping ; Wang, Weijiang

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9537

Lastpage

9541

Abstract

This new approach employs different methods to estimate the edge and non-edge coefficients in the wavelet domain, separately. For the classification of the coefficients, the edge soft-judgement algorithm is introduced, which is according to both the gradient amplitude distribution and the calculation on the probability of the edge occurrence. When estimating the probability of the edge occurrence, a fast algorithm is educed. At last, the local-relation model is introduced to constrain the probability of the edge occurrence in scale-space to improve the estimation precision. Experimental results show that this new algorithm has a better performance and is easy to implement

Keywords

edge detection; image classification; image denoising; probability; wavelet transforms; coefficient classification; edge estimation; edge occurrence probability; edge soft-judgement; gradient amplitude distribution; image denoise; image denoising; local-relation model; nonedge coefficients; wavelet domain; Adaptive filters; Filtering; Gaussian distribution; Gaussian noise; Image denoising; Image edge detection; Noise reduction; Wavelet coefficients; Wavelet domain; Wiener filter; Edge Soft-Judgement; Image Denoise; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713850

Filename

1713850