Title :
Nonlinear Diffusion, Negentropy and Restoration of Mammographic Images
Author :
Mayo, P. ; Rodenas, F. ; Ginestar, D. ; Verdu, G.
Author_Institution :
Dept. de Ingenieria Quimica y Nucl., Universidad Politecnica de Valencia
Abstract :
Diffusive iterative filtering may be used to restore mammographic noisy images. Assuming that images are corrupted by additive Gaussian noise, the negentropy as a statistical measure of the nonGaussianity, can be used to estimate the amount of noise removed from noisy images. In particular, the evolution of the negentropy with the iterations is used to introduce a stopping criterion to end the diffusive filtering process. Because of computational complexity of the negentropy function, it is estimated by using an approximation of the negentropy introduced by Hyvarinen in the context of independent component analysis
Keywords :
Gaussian noise; computational complexity; image denoising; image restoration; independent component analysis; iterative methods; mammography; medical image processing; additive Gaussian noise; computational complexity; diffusive iterative filtering; independent component analysis; iterations; mammographic image restoration; negentropy; noisy images; nonGaussianity; nonlinear diffusion; Additive noise; Computational complexity; Entropy; Filtering; Gaussian noise; Image restoration; Independent component analysis; Noise measurement; Nonlinear equations; Random variables; Diffusion equations; image restoration; medical images; stopping time;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616010
