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

fYear

2008

fDate

18-20 June 2008

Firstpage

529

Lastpage

529

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICIC.2008.389

Filename

4603718