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Proceedings Paper

Image modeling with linear scale-invariant systems
Author(s): Raghuveer M. Rao; Wei Zhao
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Paper Abstract

Scaling or dilation is an integral part of the wavelet transform. The wavelet transform possesses certain scale- invariance properties. This paper explores scale invariance further in the construction of linear, 2D, discrete-space, scale-invariant systems. Through a new definition of discrete-space, continuous-parameter dilation operation, deterministic and stochastic self-similarity in images is studied. It is shown that the dilation operation leads to the construction of linear scale-invariant systems for digital images. The paper provides methods for constructing such systems and shows application to the modeling of texture images.

Paper Details

Date Published: 22 March 1999
PDF: 12 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342951
Show Author Affiliations
Raghuveer M. Rao, Rochester Institute of Technology (United States)
Wei Zhao, DIVX (United States)

Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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