Adaptive smoothing respecting feature directions

Author

Carmona, René A. ; Zhong, Sifen

Author_Institution

Dept. of Civil Eng. & Oper. Res., Princeton Univ., NJ, USA

Volume

7

Issue

3

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

353

Lastpage

358

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;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.661185

Filename

661185