Abstract
This paper considers scale invariance of statistical image models. We study statistical scale invariance of the covariance structure of jet space under scale space blurring and derive the necessary structure and conditions of the jet covariance matrix in order for it to be scale invariant. As part of the derivation, we introduce a blurring operator A t that acts on jet space contrary to doing spatial filtering and a scaling operator S s . The stochastic Brownian image model is an example of a class of functions which are scale invariant with respect to the operators A t and S s . This paper also includes empirical results where we estimate the scale invariant jet covariance of natural images and show that it resembles that of Brownian images.
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Markussen, B., Pedersen, K.S., Loog, M. (2005). A Scale Invariant Covariance Structure on Jet Space. In: Fogh Olsen, O., Florack, L., Kuijper, A. (eds) Deep Structure, Singularities, and Computer Vision. DSSCV 2005. Lecture Notes in Computer Science, vol 3753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11577812_2
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DOI: https://doi.org/10.1007/11577812_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29836-6
Online ISBN: 978-3-540-32097-5
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