Title :
Noise Removal Based on Fourth Order Partial Differential Equation
Author :
Wang, Zhifeng ; Tang, Yandong ; Du, Yingkui
Author_Institution :
State Key Lab. of Robot., Chinese Acad. of Sci., Shenyang
Abstract :
Noise removal is an important image processing problem which has wide applications in different fields. The noise removal and edge preservation algorithm based on variational method and partial differential equation (PDE) for processing Magnetic Resonance images is proposed. The proposed method can avoid the blocky effects and false edges, compared with other second-order PDE method; moreover, it is realized easily. Experimental results illustrate the effectiveness of the model in the Magnetic Resonance image noise removal.
Keywords :
biomedical MRI; image denoising; magnetic resonance imaging; medical image processing; partial differential equations; variational techniques; edge preservation algorithm; fourth order partial differential equation; image processing; magnetic resonance imaging; noise removal; variational method; Image processing; Image segmentation; Laboratories; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Noise reduction; Partial differential equations; Robotics and automation; Smoothing methods;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.389
