Statistics – Applications
Scientific paper
Aug 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995spie.2564..136v&link_type=abstract
Proc. SPIE Vol. 2564, p. 136-144, Applications of Digital Image Processing XVIII, Andrew G. Tescher; Ed.
Statistics
Applications
Scientific paper
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.
Escalante-Ramírez Boris
Garcia-Barreto Antonio J.
Garcia-Ugalde Francisco
Venegas-Martínez Santiago
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