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Proceedings Paper

Image restoration, deblurring, and coding by means of polynomial transforms
Author(s): Santiago Venegas-Martinez; Boris Escalante-Ramirez; Francisco Garcia-Ugalde; Jose Antonio Garcia-Barreto
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Paper Abstract

We present a technique for image processing and coding based on the polynomial transform. This is an image representation model that analyzes an image by locally expanding it into a weighted sum of orthogonal polynomials. In this article we use the polynomial transform to build applications, astronomical images being the main target. The applications that we propose are developed on pyramidal structures. Their purpose is to analyze an astronomial image at different spatial scales, generating applications such as coding based on deblurring from its representation at a lower scale and followed by a scheme of prediction; another application is the reduction of noise in images generated by an astronomical acquisition system.

Paper Details

Date Published: 22 August 1995
PDF: 9 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217393
Show Author Affiliations
Santiago Venegas-Martinez, National Univ. of Mexico (Mexico)
Boris Escalante-Ramirez, National Univ. of Mexico (Mexico)
Francisco Garcia-Ugalde, National Univ. of Mexico (Mexico)
Jose Antonio Garcia-Barreto, National Univ. of Mexico (Mexico)


Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

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