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A Subjective Evaluation of Texture Synthesis Methods
Author(s) -
Kolář M.,
Debattista K.,
Chalmers A.
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13118
Subject(s) - texture synthesis , computer science , texture (cosmology) , computer graphics (images) , artificial intelligence , computer vision , image texture , image (mathematics) , image processing
This paper presents the results of a user study which quantifies the relative and absolute quality of example‐based texture synthesis algorithms. In order to allow such evaluation, a list of texture properties is compiled, and a minimal representative set of textures is selected to cover these. Six texture synthesis methods are compared against each other and a reference on a selection of twelve textures by non‐expert participants (N = 67). Results demonstrate certain algorithms successfully solve the problem of texture synthesis for certain textures, but there are no satisfactory results for other types of texture properties. The presented textures and results make it possible for future work to be subjectively compared, thus facilitating the development of future texture synthesis methods.