Geometrical and textural component separation with adaptive scale selection

Authors:
Tam$#225/s Szir$#225/nyi;D$#225/niel Szolgay
Affiliations:
Computer and Automation Research Institute, MTA SZTAKI, Budapest, Hungary;P$#225/zm$#225/ny Pé/ter Catholic University, Budapest, Hungary
Venue:
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
Year:
2011

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Abstract

The present paper addresses the cartoon/texture decomposition task, offering theoretically clear solutions for the main issues of adaptivity, structure enhancement and the quality criterion of the goal function. We apply Anisotropic Diffusion with a Total Variation based adaptive parameter estimation and automatic stopping condition. Our quality measure is based on an observation that the cartoon and the texture components of an image are orthogonal to each other. The visual and numerical comparison to the similar algorithms from the state-of-the-art showed the superiority of the proposed method.