Title :
Image recovery using the anisotropic diffusion equation
Author :
Torkamani-Azar, F. ; Tait, K.E.
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia
fDate :
11/1/1996 12:00:00 AM
Abstract :
A new approach for image recovery using the anisotropic diffusion equation is developed which is based on the first derivative of the signal in time embedded in family of images with different scales. The diffusion coefficient is determined as a function of the gradient of the signal convolved with a symmetric exponential filter. A new discrete realization is developed for the simultaneous removal of noise and preservation of edges
Keywords :
edge detection; filtering theory; image enhancement; nonlinear filters; anisotropic diffusion equation; diffusion coefficient; discrete realization; edge enhancement; edge preservation; image recovery; noise removal; nonlinear image filtering; signal gradient; symmetric exponential filter; Anisotropic magnetoresistance; Differential equations; Filters; Image edge detection; Image resolution; Laplace equations; Signal resolution; Signal to noise ratio; Smoothing methods; Space heating;
Journal_Title :
Image Processing, IEEE Transactions on
