Title :
Denoising and Enhancement of Magnetic Resonance Image Based on the Dyadic Wavelet Transform
Author :
Zheng-Hong Huang ; Lia Xia
Author_Institution :
Coll. of Comput. Sci., Chongqing Technol. & Bus. Univ., Chongqing, China
Abstract :
This paper is applied non-linear operators for image enhancing. The efficient algorithm of MRI enhancement is provided by decomposition of localized information at different spatial frequencies. So the MRI edge textures was enhanced while suppresses the noise maximally. Experiment was show more obvious unseen or barely seen features, and the visual effect is improved after the method, and help for diagnosing the state of an illness.
Keywords :
image denoising; image enhancement; image texture; magnetic resonance imaging; wavelet transforms; MRI edge texture; MRI enhancement; dyadic wavelet transform; image denoising; magnetic resonance image enhancement; nonlinear operator; spatial frequency; Image edge detection; Magnetic resonance imaging; Noise; Noise reduction; Wavelet analysis; Wavelet coefficients;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
DOI :
10.1109/CCPR.2010.5659241
