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Proceedings Paper

Scale in images
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Paper Abstract

The scale transform has been recently proposed and applied to 1D signals in applications such as speech processing, biological signals and machine vibration analysis. The purpose of this paper is to investigate how the concept of scale can be extended for multidimensional signals, and in particular in the case of images. A first example of denoising in the scale domain in comparison with Fourier filtering is presented. The importance of magnitude and phase of the scale transform is also discussed in the context of the Fourier transform. It is shown that scaling operators permit the analysis of the local frequency contents of an image at different resolutions.

Paper Details

Date Published: 22 October 1996
PDF: 11 pages
Proc. SPIE 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI, (22 October 1996); doi: 10.1117/12.255438
Show Author Affiliations
Gabriel Cristobal, Instituto de Optica (Spain)
Leon Cohen, CUNY/Hunter College and Graduate Ctr. (United States)

Published in SPIE Proceedings Vol. 2846:
Advanced Signal Processing Algorithms, Architectures, and Implementations VI
Franklin T. Luk, Editor(s)

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