Title :
Texture synthesis using image pyramids and self-organizing maps
Author :
Parada, Patricio ; Ruiz-del-Solar, Javier
Author_Institution :
Dept. of Electr. Eng., Chile Univ., Santiago, Chile
Abstract :
Markov random field (MRF) is a well known model for the generation of textures in the field of computer graphics. However, the estimation of its parameter is quite difficult in many cases. A new algorithm for the synthesis of textures is proposed, based on image pyramids and self-organizing maps. This procedure avoids the explicit computation of the MRF parameters. Preliminary results support the appropriateness of this new approach
Keywords :
computer graphics; image texture; self-organising feature maps; Markov random field; computer graphics; image pyramids; self-organizing maps; texture synthesis; Computational modeling; Computer graphics; Frequency domain analysis; Markov random fields; Parameter estimation; Pixel; Probability distribution; Self organizing feature maps; Stochastic processes; Visual perception;
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
DOI :
10.1109/ICIAP.2001.957016
