DocumentCode :
2647886
Title :
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
Link To Document :
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