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MR Image De-nosing Study Based Multiwavelet

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成果类型:
期刊论文
作者:
Li Lingyuan*;Zhang Yan-hua;Wang Zheng-qiang
通讯作者:
Li Lingyuan
作者机构:
[Li Lingyuan] Cent China Normal Univ, Elect & Informat Engn Dept, Wuhan 430079, Peoples R China.
[Zhang Yan-hua] Xuzhou Inst Technol, Dept Informat & Elect Engn, Xuzhou 221008, Peoples R China.
[Wang Zheng-qiang] Xiangfan Univ, Dept Phys & Elect Informat Technol, Xiangfan 441053, Hubei, Peoples R China.
通讯机构:
[Li Lingyuan] C
Cent China Normal Univ, Elect & Informat Engn Dept, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
MR image;denoising;multiwavelet;self-adaptive threshold;semi-soft thresholding functionent
期刊:
2009 SYMPOSIUM ON PHOTONICS AND OPTOELECTRONICS (SOPO 2009)
年:
2009
页码:
207-+
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 MRI is not only lower the quality of image but also making de-noising more difficultly. The multiwavelet with the orthogonality and symmetry decomposes the image more precisely and denoise better than wavelet. After decomposing the image using multiwavelet, A method combining threshold-selecting function with semi-soft thresholding is proposed to reduce the noise in MRI. The simulation re...

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