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An Improved Adaptive Image Denoising Method Based on Multi-wavelet Transform

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3 Author(s)
Bo Zhu ; Dept. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun ; Hongzhi Wang ; Liangliang Huang

In this paper, we put forward an improved image denoising method based on multi-wavelet transform. According to the characteristic of the multi-wavelet coefficients in different directions of the different sub-band and combine with the image decomposition scaling function, this method can select different adaptive threshold of the best. Experiments show that this method can remove the white noise effectively and preserve the significant details of the image. Comparing with the wavelet denoising and the traditional multi-wavelet denoising, it improves the PSNR and MSE of the image.

Published in:

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on  (Volume:1 )

Date of Conference:

3-4 Aug. 2008