Research on image denoising methods based on wavelet transform and rolling-ball algorithm

Author

Jiang, Hui-Yan ; Cheng, Zhen-Yu ; Huo, Yan ; Zhou, Xiao-Jie ; Chai, Tian-You

Author_Institution

Northeastern Univ., Shenyang

Volume

4

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1604

Lastpage

1607

Abstract

A novel image de-noising method based on rolling-ball algorithm is proposed. And wavelet transform is applied to do with strong noising image. Firstly, the image is denoised by wavelet transform in frequency domain. Then, the image is denoised by rolling-ball algorithm in space domain. The validity of the proposed approach is demonstrated in the real flame images polluted seriously by the noise. Experiment results show good denoising effect and the proposed approach could be applied in other industrial images.

Keywords

frequency-domain analysis; image denoising; wavelet transforms; frequency domain; image denoising; real flame image; rolling-ball algorithm; space domain; wavelet transform; Image denoising; Low pass filters; Noise reduction; Nonlinear filters; Pattern analysis; Pattern recognition; Pollution; Wavelet analysis; Wavelet coefficients; Wavelet transforms; image denoising; rolling-ball algorithm; wavelet denoising; wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4421708

Filename

4421708