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Quality Assessment of Fractalized NPR Textures: a Perceptual Objective Metric

Pierre Bénard 1 Joëlle Thollot 1 François X. Sillion 1
1 ARTIS - Acquisition, representation and transformations for image synthesis
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : Texture fractalization is used in many existing approaches to ensure the temporal coherence of a stylized animation. This paper presents the results of a psychophysical user-study evaluating the relative distortion induced by a fractalization process of typical medium textures. We perform a ranking experiment, assess the agreement among the participants and study the criteria they used. Finally we show that the average co-occurrence error is an efficient quality predictor in this context.
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https://hal.inria.fr/inria-00405966
Contributor : Pierre Bénard <>
Submitted on : Friday, July 24, 2009 - 10:05:34 AM
Last modification on : Thursday, November 19, 2020 - 1:00:20 PM
Long-term archiving on: : Saturday, November 26, 2016 - 10:42:44 AM

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Pierre Bénard, Joëlle Thollot, François X. Sillion. Quality Assessment of Fractalized NPR Textures: a Perceptual Objective Metric. Symposium on Applied Perception in Graphics and Visualization (APGV), Sep 2009, Chania, Crete, Greece. pp.117-120, ⟨10.1145/1620993.1621016⟩. ⟨inria-00405966v2⟩

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