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Proceedings Paper

Computational Models For Texture Analysis And Synthesis
Author(s): David D. Garber; Alexander A. Sawchuk
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Paper 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.

Paper Details

Date Published: 12 November 1981
PDF: 20 pages
Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); doi: 10.1117/12.965755
Show Author Affiliations
David D. Garber, University of Southern California Los Angeles (United States)
Alexander A. Sawchuk, University of Southern California Los Angeles (United States)


Published in SPIE Proceedings Vol. 0281:
Techniques and Applications of Image Understanding
James J. Pearson, Editor(s)

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