Paper
10 January 1997 Parametric image coding by means of polynomial transforms
Oscar Viveros-Cancino, Boris Escalante-Ramirez
Author Affiliations +
Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263298
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
In this paper we propose an image coding scheme based on the polynomial transform and multiresolution analysis. The polynomial transform is an image representation model that mimics some properties of the human vidual system, and which we use in order to model edges in terms of their characteristic parameters. Based on the polynomial transform, we build a pyramidal hierarchical predictive scheme for image coding. The feature parameters that we encode are: local average, edge orientation, edge position and edge magnitude.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oscar Viveros-Cancino and Boris Escalante-Ramirez "Parametric image coding by means of polynomial transforms", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263298
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Cited by 1 scholarly publication.
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KEYWORDS
Transform theory

Image compression

Image quality

Xenon

Image analysis

Visual process modeling

Visual system

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