Abstract
In this paper, the representation, generation and inference of images using automata theoretic techniques is investigated. It is shown that highly complex images, including “fractal” (self-similar) images, can be manipulated by the application of these techniques. Languages and relations over some alphabet are interpreted as images by treating strings as rational coordinates. In particular, the rational relations, specified by rational expressions, are considered. It is shown how texture of an image can be defined by probabilistic finite generators. Iterative generators are also considered.
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© 1990 Springer-Verlag Berlin Heidelberg
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Culik, K., Dube, S. (1990). Automata-theoretic techniques for image generation and compression. In: Nori, K.V., Veni Madhavan, C.E. (eds) Foundations of Software Technology and Theoretical Computer Science. FSTTCS 1990. Lecture Notes in Computer Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-53487-3_36
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DOI: https://doi.org/10.1007/3-540-53487-3_36
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