Computational Models For Texture Analysis And Synthesis

David D. Garber; Alexander A. Sawchuk

doi:10.1117/12.965755

12 November 1981 Computational Models For Texture Analysis And Synthesis

David D. Garber, Alexander A. Sawchuk

Proceedings Volume 0281, Techniques and Applications of Image Understanding; (1981) https://doi.org/10.1117/12.965755
Event: 1981 Technical Symposium East, 1981, Washington, D.C., United States

Abstract

In this paper, binary and gray-level natural textures are synthesized using several methods. The quality of the natural texture simulations depends on the computation time for data collection, computation time for generation, and storage used in each process. Many textures are adequately simulated using simple models thus providing a potentially great information compression for many applications. Other textures with macrostructure and nonstationary characteristics require more extensive computation to synthesize visually pleasing results. Although the success of texture synthesis is highly dependent on the texture itself and the modeling method chosen, general conclusions regarding the performance of various techniques are given.

Citation Download Citation

David D. Garber and Alexander A. Sawchuk "Computational Models For Texture Analysis And Synthesis", Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); https://doi.org/10.1117/12.965755

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