Paper
22 October 1993 Technique for image interpolation using polynomial transforms
Boris Escalante-Ramirez, Jean-Bernard Martens
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157971
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
Abstract
We present a new technique for image interpolation based on polynomial transforms. This is an image representation model that analyzes an image by locally expanding it into a weighted sum of orthogonal polynomials. In the discrete case, the image segment within every window of analysis is approximated by a finite set of polynomial coefficients. We show how the problem of interpolating an image can be approached by interpolating the smooth window function used to locally analyze the image. Comparison with the existing interpolation techniques illustrates the good performance of the method presented in this paper.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Escalante-Ramirez and Jean-Bernard Martens "Technique for image interpolation using polynomial transforms", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157971
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Transform theory

Image analysis

Image interpolation

Computed tomography

Medical imaging

Image restoration

Image filtering

RELATED CONTENT


Back to Top