Title :
Color texture synthesis with 2-D moving average model
Author :
Andrews, Glen ; Eom, Kie B.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
An algorithm for synthesizing color textures from a small set of parameters is presented. The synthesis algorithm is based on the 2-D moving average model, and realistic textures resembling many real textures can be synthesized using this algorithm. A maximum likelihood estimation algorithm to estimate parameters from a sample texture is also presented. Using the estimated parameters, a texture larger than the original image can be synthesized from a small texture sample. In the experiment, various textures suitable for multimedia applications are synthesized from parameters estimated from real textures
Keywords :
image colour analysis; image sampling; image texture; maximum likelihood estimation; multimedia systems; 2D moving average model; MLE algorithm; color texture synthesis; experiment; maximum likelihood estimation algorithm; multimedia applications; real textures; sample texture; synthesis algorithm; Clouds; Convolution; Frequency domain analysis; Gaussian processes; Image databases; Iterative algorithms; Maximum likelihood estimation; Parameter estimation; Stochastic processes; Surface texture;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756238