Near-Regular Texture Synthesis by Random Sampling and Gap Filling
نویسندگان
چکیده
This paper addresses the synthesis of near-regular textures, i.e. textures that consist of a regular global structure plus subtle yet very characteristic stochastic irregularities. Such textures are difficult to synthesize due to the complementary characteristics of these structures. In this paper, we propose a method which we call Random Sampling and Gap Filling (RSGF) to synthesize near-regular textures. The synthesis approach is guided by a lattice of the global structure estimated from a generalized normalized autocorrelation of the sample image. This lattice constrains a random sampling process to maintain the global regular structure yet ensuring the characteristic randomness of the irregular structures. Results presented in this paper show that our method does not only produce convincing results for regular or near-regular textures but also for irregular textures.
منابع مشابه
Constrained Random Sampling and Gap Filling Technique for Near-regular Texture Synthesis
Erklärung Hiermit erkläre ich, dass ich diese Arbeit selbstständig erstellt und keine anderen als die angegebenen Hilfsmittel benutzt habe. Acknowledgements I am grateful to all authors that have worked on texture synthesis before us and whose publications have inspired our work, especially Efros and Freeman's and Liu et al.'s. I would also like to thank Technische Universität Berlin, Fraunhofe...
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