3 March 1995 Pyramidal predictive image coding with polynomial transforms
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Abstract
We present a predictive image coding technique 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. The scheme proposed in this paper is a Laplacian-like pyramidal structure. Based on interpolation and deblurring algorithms implemented by means of the polynomial transform, our method improves the prediction of an image at a certain spatial scale from its representation at a lower scale, thereby reducing the entropy of the prediction error image, in comparison with the Laplacian pyramid and the scale-space image coding schemes.
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Boris Escalante-Ramirez, Boris Escalante-Ramirez, Santiago Venegas-Martinez, Santiago Venegas-Martinez, Francisco Garcia-Ugalde, Francisco Garcia-Ugalde, } "Pyramidal predictive image coding with polynomial transforms", Proc. SPIE 2418, Still-Image Compression, (3 March 1995); doi: 10.1117/12.204121; https://doi.org/10.1117/12.204121
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