Date of Award
3-5-2004
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Steven C. Gustafson, PhD
Abstract
Digital image interpolation using Gaussian radial basis functions has been implemented by several investigators, and promising results have been obtained; however, determining the basis function variance has been problematic. Here, adaptive Gaussian basis functions fit the mean vector and covariance matrix of a non-radial Gaussian function to each pixel and its neighbors, which enables edges and other image characteristics to be more effectively represented. The interpolation is constrained to reproduce the original image mean gray level, and the mean basis function variance is determined using the expected image smoothness for the increased resolution. Test outputs from the resulting Adaptive Gaussian Interpolation algorithm are presented and compared with classical interpolation techniques.
AFIT Designator
AFIT-GE-ENG-04-15
DTIC Accession Number
ADA426479
Recommended Citation
Hunt, Terence D., "Image Super-Resolution Using Adaptive 2-D Gaussian Basis Function Interpolation" (2004). Theses and Dissertations. 4044.
https://scholar.afit.edu/etd/4044