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

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5 Author(s)
Hui-Yan Jiang ; Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, Liaoning, 110004, China ; Zhen-Yu Cheng ; Yan Huo ; Xiao-Jie Zhou
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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.

Published in:

2007 International Conference on Wavelet Analysis and Pattern Recognition  (Volume:4 )

Date of Conference:

2-4 Nov. 2007