DocumentCode
1646218
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
fYear
2001
Firstpage
244
Lastpage
249
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location
Palermo
Print_ISBN
0-7695-1183-X
Type
conf
DOI
10.1109/ICIAP.2001.957016
Filename
957016
Link To Document