Title :
MR Image De-Noising Study Based Multiwavelet
Author :
Li Lingyuan ; Zhang Yan-hua ; Wang Zheng-qiang
Author_Institution :
Dept. of Electron. & Inf. Eng., Central China Normal Univ., Wuhan, China
Abstract :
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 results shows that the method is superior to others.
Keywords :
magnetic resonance imaging; wavelet transforms; MR image; de-noising; multiwavelet; orthogonality; symmetry; Additive noise; Background noise; Filters; Gaussian noise; Image denoising; Magnetic resonance imaging; Noise reduction; Rician channels; Signal to noise ratio; Working environment noise;
Conference_Titel :
Photonics and Optoelectronics, 2009. SOPO 2009. Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4412-0
DOI :
10.1109/SOPO.2009.5230277
