Polynomial phase difference operator for modeling of nonhomogeneous images

Joseph M. Francos, Benjamin Friedlander

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

We consider non-homogeneous 2-D signals which can be represented by a constant modulus polynomial-phase model. We develop a computationally efficient estimation algorithm for the parameters of this model. The algorithm is based on a phase differencing operator which is introduced in this paper. The basic properties of the operator are derived and used to develop the estimation algorithm.

Original languageEnglish
Pages276-279
Number of pages4
StatePublished - 1 Jan 1996
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: 23 Oct 199526 Oct 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period23/10/9526/10/95

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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