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Parsimonious texture synthesis using binomial linear prediction

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2 Author(s)
Becchetti, C. ; Rome Univ., Italy ; Campisi, P.

An unsupervised texture synthesis method operating in a dimensionally small parameter space is presented. It consists of two stages. In the first stage, the morphological structure of a given prototype is reproduced using an hard limited Gaussian random field. The second stage is a simple low pass filter for texture reconstruction from a binary input. The model identification process is described and synthetic texture examples are reported

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:2 )

Date of Conference:

14-17 Jul 1997