Title :
An evolving localised learning model for on-line image colour quantisation
Author :
Da Deng ; Kasabov, Nikola
Author_Institution :
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
fDate :
6/23/1905 12:00:00 AM
Abstract :
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the whole set of image data is acquired, we propose to use an evolving localised learning model for on-line colour quantisation. This approach is compared with some conventional algorithms
Keywords :
image coding; image colour analysis; digital colour image; evolving localised learning model; image processing; on-line image colour quantisation; Clustering algorithms; Computer graphics; Displays; Image coding; Image color analysis; Image processing; Information science; Network topology; Prototypes; Vector quantization;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959193
