An evolving localised learning model for on-line image colour quantisation

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.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Da Deng, Nikola K. Kasabov
• Keywords: ICIP 2001, Image Data, Image Processing, On-line Colour Quantisation