Polynomial phase difference operator for parametric modeling of 2-D nonhomogeneous signals

Benjamin Friedlander; Joseph M. Francos

Polynomial phase difference operator for parametric modeling of 2-D nonhomogeneous signals

Research output: Contribution to conference › Paper › peer-review

Abstract

A fundamental problem in two-dimensional signal processing is the modeling and analysis of nonhomogeneous two-dimensional (2-D) signals. Conventional approaches to the problem usually involve local analysis of the image, by means of the edge detection algorithm. Parametric models, when used in image processing, generally assume the observed image to be homogeneous, or piece-wise homogeneous. This paper considers a parametric model which is nonhomogeneous, and attempts to perform global image analysis. A model consisting of a sine (or cosine) of polynomial function of the image coordinates.

Original language	English
Pages	364
Number of pages	1
State	Published - 1 Jan 1995
Externally published	Yes
Event	Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Duration: 17 Sep 1995 → 22 Sep 1995

Conference

Conference	Proceedings of the 1995 IEEE International Symposium on Information Theory
City	Whistler, BC, Can
Period	17/09/95 → 22/09/95

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

Cite this

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title = "Polynomial phase difference operator for parametric modeling of 2-D nonhomogeneous signals",

abstract = "A fundamental problem in two-dimensional signal processing is the modeling and analysis of nonhomogeneous two-dimensional (2-D) signals. Conventional approaches to the problem usually involve local analysis of the image, by means of the edge detection algorithm. Parametric models, when used in image processing, generally assume the observed image to be homogeneous, or piece-wise homogeneous. This paper considers a parametric model which is nonhomogeneous, and attempts to perform global image analysis. A model consisting of a sine (or cosine) of polynomial function of the image coordinates.",

author = "Benjamin Friedlander and Francos, {Joseph M.}",

year = "1995",

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language = "English",

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note = "Proceedings of the 1995 IEEE International Symposium on Information Theory ; Conference date: 17-09-1995 Through 22-09-1995",

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AU - Friedlander, Benjamin

AU - Francos, Joseph M.

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N2 - A fundamental problem in two-dimensional signal processing is the modeling and analysis of nonhomogeneous two-dimensional (2-D) signals. Conventional approaches to the problem usually involve local analysis of the image, by means of the edge detection algorithm. Parametric models, when used in image processing, generally assume the observed image to be homogeneous, or piece-wise homogeneous. This paper considers a parametric model which is nonhomogeneous, and attempts to perform global image analysis. A model consisting of a sine (or cosine) of polynomial function of the image coordinates.

AB - A fundamental problem in two-dimensional signal processing is the modeling and analysis of nonhomogeneous two-dimensional (2-D) signals. Conventional approaches to the problem usually involve local analysis of the image, by means of the edge detection algorithm. Parametric models, when used in image processing, generally assume the observed image to be homogeneous, or piece-wise homogeneous. This paper considers a parametric model which is nonhomogeneous, and attempts to perform global image analysis. A model consisting of a sine (or cosine) of polynomial function of the image coordinates.

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M3 - Paper

AN - SCOPUS:0029194365

SP - 364

T2 - Proceedings of the 1995 IEEE International Symposium on Information Theory

Y2 - 17 September 1995 through 22 September 1995

ER -

Polynomial phase difference operator for parametric modeling of 2-D nonhomogeneous signals

Abstract

Conference

ASJC Scopus subject areas

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