Classification of compressed images using Fourier-transform-based invariants

Zamir Abraham; Moshe Elbaz; Jacob Rubenstein; Yehoshua Y. Zeevi

doi:10.1117/12.186004

16 September 1994 Classification of compressed images using Fourier-transform-based invariants

Zamir Abraham, Moshe Elbaz, Jacob Rubenstein, Yehoshua Y. Zeevi

Author Affiliations +

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186004
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

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.

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Zamir Abraham, Moshe Elbaz, Jacob Rubenstein, and Yehoshua Y. Zeevi "Classification of compressed images using Fourier-transform-based invariants", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186004

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