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

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.

Citation Download Citation

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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