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Applying neural networks to colour image data compression

Godfrey, K.R.L. and Attikiouzel, Y. (1992) Applying neural networks to colour image data compression. In: TENCON '92. IEEE Region 10 International Conference, ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.', 11 - 13 November, Melbourne, Australia pp. 545-549.

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A self-organizing neural network is used to achieve color 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. By adding an external threshold decision, a compression network can build its codebook adaptively and therefore speed the compression process. A 24-bit color image is compressed to 6.39 bit with virtually no visual degradation.

Item Type: Conference Paper
Publisher: IEEE
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