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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
Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
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. For more details see:
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Submitted on : Tuesday, July 21, 2009 - 1:38:55 PM
Last modification on : Thursday, November 19, 2020 - 1:00:20 PM
Long-term archiving on: : Monday, October 15, 2012 - 3:31:01 PM


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  • HAL Id : inria-00405966, version 1


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), ACM Press, 2009. ⟨inria-00405966v1⟩



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