Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660454
