A Non-Isotropic Parametric Model for Image Spectra

Author

Prendergast, Ryan S. ; Nguyen, Truong Q.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA

Volume

2

fYear

2006

fDate

14-19 May 2006

Abstract

Image restoration and enhancement problems are often considered using a solution based on a model for the image´s power spectral density (PSD). This paper considers a new PSD model for images through modification of a previously considered isotropic model. The new model and an algorithm for estimating its parameters are presented. Several simulations considering PSD estimation for images corrupted by additive noise, distortion, and resolution reduction are presented to demonstrate the improvements made with this new modelling approach

Keywords

distortion; image denoising; image enhancement; image restoration; parameter estimation; additive noise; image enhancement problems; image power spectral density; image restoration; nonisotropic parametric model; parameter estimation; resolution reduction; Additive noise; Degradation; Electronic mail; Focusing; Image resolution; Image restoration; Nonlinear filters; Parameter estimation; Parametric statistics; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660454

Filename

1660454