Pyramidal predictive image coding with polynomial transforms

Boris Escalante-Ramirez; Santiago Venegas-Martinez; Francisco Garcia-Ugalde

doi:10.1117/12.204121

3 March 1995 Pyramidal predictive image coding with polynomial transforms

Boris Escalante-Ramirez, Santiago Venegas-Martinez, Francisco Garcia-Ugalde

Proceedings Volume 2418, Still-Image Compression; (1995) https://doi.org/10.1117/12.204121
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

Boris Escalante-Ramirez, Santiago Venegas-Martinez, and Francisco Garcia-Ugalde "Pyramidal predictive image coding with polynomial transforms", Proc. SPIE 2418, Still-Image Compression, (3 March 1995); https://doi.org/10.1117/12.204121

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