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

被引：2
|
作者：
Zhu, Bo [1 ]
Wang, Hongzhi [1 ]
Huang, Liangliang [1 ]
机构：
[1] Changchun Univ Technol, Dept Comp Sci & Engn, Changchun 130012, Peoples R China
来源：
2008 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CCCM.2008.229
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：142 / 146
页数：5
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