Title :
Noise reduction based on reaction-diffusion system
Author :
Liu, Fu-cheng ; Ha, Yan
Author_Institution :
Hebei Univ., Baoding
Abstract :
Noise reduction is realized by using a FHN (FitzHugh Nagumo) model which is a typical two-variable reaction-diffusion equation. The model exhibits two characteristics of dynamics: excitability and bistability. In the bistable region the local dynamics of the system can leads to the availability of noise reduction. It is found that the effects of image smoothing by FHN model are superior that by other filters. Results show that this approach can not only remove the noise effectively, but also have the advantages of the continuity, integrity. Furthermore, accurate location of image edges can be preserved during the smoothing process. The mechanism of the new method has been studied by the linear stability analysis.
Keywords :
edge detection; interference suppression; reaction-diffusion systems; smoothing methods; stability; bistable region; image edges; image smoothing; linear stability analysis; noise reduction; reaction-diffusion system; Adaptive filters; Biology computing; Differential equations; Image edge detection; Image processing; Noise reduction; Nonlinear filters; Partial differential equations; Smoothing methods; Wavelet analysis; FHN model; image smoothing; noise reduction; reaction diffusion system;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4420784
