Title

Two-Dimensional, Transform-Domain, Least-Square Techniques For Accurate Representation Of Dominant Transform Components And Noise Cancellation

Abstract

The accurate and efficient representation of fwo-dimensional(2D) signals in the transform domain is very useful for image processing and coding. In this paper, we present a least-square transform domain technique to accurately represent the dominant complex transform components of two dimensional signals and two dimensional systems. The algorithm derived here is based on the equationary model(recursive-like structure) which can accurately match the location, magnitude and phase of complex transform components in the least square sense for the unknown signal. In addition, the technique is applied successfully in noise cancellation for image restoration. Examples are given to illustrate the performance of this method in both spectral representation and noise cancellation applications.

Publication Date

1-1-1992

Publication Title

Proceedings - IEEE International Symposium on Circuits and Systems

Volume

2

Number of Pages

517-520

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ISCAS.1992.230141

Socpus ID

84989471288 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84989471288

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