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Image denoising study based on balanced multiwavelet

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成果类型:
期刊论文、会议论文
作者:
Li, Lingyuan;Wang, Zhengqiang;Song, Lixin
通讯作者:
Li, L.(lyli@phy.ccnu.edu.cn)
作者机构:
[Li, Lingyuan] Department of Electronic and Information Engineering, Central China Normal University, Wuhan , China
[Wang, Zhengqiang; Song, Lixin] College of Physics and Electronic Engineering, Xiangfan University, Xiangfan, HuBei, 441053, China
通讯机构:
Department of Electronic and Information Engineering, Central China Normal University, China
语种:
英文
关键词:
Balanced multiwavelet;Denoise;Image;Semi-soft thresholding function;Threshold-selecting model
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2009
卷:
7494
会议论文集名称:
MIPPR 2009: Multispectral Image Acquisition and Processing
主编:
Faxiong Zhang<&wdkj&>Faxiong Zhang
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
The particular noise in image not only lower the quality of image but also make denoising more difficult. The multiwavelet with the orthogonality and symmetry decompose the image signal more precisely and denoise better than wavelet. But for multiwavelet transform, the choice of prefilter is extremely important, meanwhile leads to the complication of computation. Furthermore, the image decomposition based on balanced orthogonal multiwavelet is excellent, and does not need pre-filtering. So, in this paper, we propose a method of combining threshold-selecting model with semi-soft thresholding fu...

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