Title :
Modified biased anisotropic diffusion processing of noisy color images
Author_Institution :
Silesian Univ. of Technol., Gliwice
Abstract :
In this paper a new approach to the problem of noise reduction in color images is presented. The novel technique is based on a modification of the biased anisotropic diffusion. In the modified iterative scheme, the original noisy signal embedded in the biased anisotropic diffusion framework is replaced by an image processed by a nonlinear multichannel filter. The experiments revealed, that the proposed solution significantly excels over the standard anisotropic diffusion methods in case of the mixed Gaussian and impulse noise contaminating the color image. The main benefits of the proposed approach are its rapid convergence to the final stable state, low computational complexity and good performance in complex noise scenarios.
Keywords :
Gaussian noise; image colour analysis; impulse noise; iterative methods; nonlinear filters; biased anisotropic diffusion processing; impulse noise; mixed Gaussian noise; noise reduction; noisy color images; nonlinear multichannel filter; Anisotropic magnetoresistance; Color; Colored noise; Conductivity; Equations; Gaussian noise; Noise reduction; PSNR; Signal processing; Space heating;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697245