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Pyramid-Based Texture Synthesis Using Local Orientation and Multidimensional Histogram Matching

D. Van De Ville, M. Guerquin-Kern, M. Unser

Proceedings of the SPIE Optics and Photonics 2009 Conference on Mathematical Methods: Wavelet XIII, San Diego CA, USA, August 2-6, 2009, vol. 7446, pp. 74460X-1/74460X-8.

One very influential method for texture synthesis is based on the steerable pyramid by alternately imposing marginal statistics on the image and the pyramid's subbands. In this work, we investigate two extensions to this framework. First, we exploit the steerability of the transform to obtain histograms of the subbands independent of the local orientation; i.e., we select the direction of maximal response as the reference orientation. Second, we explore the option of multidimensional histogram matching. The distribution of the responses to various orientations is expected to capture better the local geometric structure. Experimental results show how the proposed approach improves the performance of the original pyramid-based synthesis method.

AUTHOR="Van De Ville, D. and Guerquin-Kern, M. and Unser, M.",
TITLE="Pyramid-Based Texture Synthesis Using Local Orientation and
        Multidimensional Histogram Matching",
BOOKTITLE="Proceedings of the {SPIE} Conference on Mathematical Imaging:
        {W}avelet {XIII}",
address="San Diego CA, USA",
month="August 2-6,",

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