Image modeling with linear scale-invariant systems

Raghuveer M. Rao; Wei Zhao

doi:10.1117/12.342951

22 March 1999 Image modeling with linear scale-invariant systems

Raghuveer M. Rao, Wei Zhao

Proceedings Volume 3723, Wavelet Applications VI; (1999) https://doi.org/10.1117/12.342951
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Raghuveer M. Rao and Wei Zhao "Image modeling with linear scale-invariant systems", Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); https://doi.org/10.1117/12.342951

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available