Extended abstract: A color quantization approach based on the Growing Neural Forest

摘要

In this work, a novel color quantization approach based on the Growing Neural Forest (GNF) is proposed. The GNF is a recently proposed improvement of the Growing Neural Gas (GNG), where a set of trees is learned instead of a general graph. Thus, this model is suitable for color quantization purposes. Experimental results confirm the good performance of the GNF for color quantization tasks.