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Proceedings Paper

Classification of compressed images using Fourier-transform-based invariants
Author(s): Zamir Abraham; Moshe Elbaz; Jacob Rubenstein; Yehoshua Y. Zeevi
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Paper Abstract

A novel approach for classification of deformed images is presented. It is shown that by using the Fourier phase of the deformed images, a set of invariants can be calculated and used for identification of each image. Phase-only, as is well known, is also good for compression and reconstruction of images. Computational results are presented and discussed.

Paper Details

Date Published: 16 September 1994
PDF: 12 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.186004
Show Author Affiliations
Zamir Abraham, Technion--Israel Institute of Technology (Israel)
Moshe Elbaz, Technion--Israel Institute of Technology (Israel)
Jacob Rubenstein, Technion--Israel Institute of Technology (Israel)
Yehoshua Y. Zeevi, Technion--Israel Institute of Technology (Israel)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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