Applying Neural Networks to Colour Image Data Compression

With the advent of complex medical imaging and high speed video teleconferencing, there is an emerging need for fast colour image compression algorithms. This paper employs a self-organising neural network to achieve colour image segmentation and image data compression, with an adaptive codebook for faster training. Neural network architectures are well suited to high speed processing because they are massively parallel.