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A stochastic scale space for multiscale image representation

Ranjan, US and Ramakrishnan, KR (1999) A stochastic scale space for multiscale image representation. In: Scale-Space Theories in Computer Vision. Second International Conference, Scale-Space '99. Proceedings, 26-27 Sept. 1999, Corfu, Greece, pp. 441-446.

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The notion of a stochastic scale space has been introduced through a stochastic approximation to the Perona-Malik (1990) equation. The approximate solution has been shown to preserve scale-space causality and is well-posed in an expected sense. The algorithm also converges to a (unique) constant image

Item Type: Conference Paper
Publisher: Springer-Verlag
Additional Information: Copyright of this article belongs to Springer-Verlag
Keywords: approximation theory;convergence of numerical methods;image representation;image resolution;stochastic processes
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 Jul 2007
Last Modified: 27 Aug 2008 12:43
URI: http://eprints.iisc.ac.in/id/eprint/10312

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