| Paper: | IMDSP-P13.1 | ||
| Session: | Image Modeling | ||
| Time: | Thursday, May 18, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Modeling | ||
| Title: | A Non-Isotropic Parametric Model for Image Spectra | ||
| Authors: | Ryan Prendergast, Truong Q. Nguyen, University of California, San Diego, United States | ||
| 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. | ||
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