Title :
Adaptive smoothing respecting feature directions
Author :
Carmona, René A. ; Zhong, Sifen
Author_Institution :
Dept. of Civil Eng. & Oper. Res., Princeton Univ., NJ, USA
fDate :
3/1/1998 12:00:00 AM
Abstract :
Accurate extraction of the image feature directions is essential to image smoothing and other image processing tasks. We show that the gradient-based feature direction extraction method can be very erroneous. The gradient is too local, and it cannot detect oscillations. We have developed two new methods: the Hessian method, an approach using higher order differentiations, and the Gabor (1946) method, an approach using space-frequency analysis
Keywords :
adaptive signal processing; differentiation; feature extraction; image enhancement; image restoration; partial differential equations; smoothing methods; Gabor method; Hessian method; adaptive smoothing; gradient-based feature direction extraction; higher order differentiations; image enhancement; image feature directions extraction; image processing; image restoration; image smoothing; partial differential equations; space-frequency analysis; Adaptive control; Anisotropic magnetoresistance; Equations; Feature extraction; Image processing; Image restoration; Noise reduction; Operations research; Programmable control; Smoothing methods;
Journal_Title :
Image Processing, IEEE Transactions on
