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AN IMPROVED NEURAL IMAGE COMPRESSION APPROACH WITH CLUSTER BASED PREPROCESSING

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Author(s): Ashanta Ranjan Routray | Munesh Chandra Adhikary

Journal: International Journal of Computer Science & Information Technology
ISSN 0975-4660

Volume: 3;
Issue: 6;
Start page: 183;
Date: 2012;
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Keywords: Back propagation | Bipolar sigmoid | Vector quantization

ABSTRACT
The convergence time for training back propagation neural network for image compression is slow ascompared to other traditional image compression techniques. This article proposes a pre-processingtechnique i.e. Pre-processed Back propagation neural image compression (PBN) with an enhancement inperformance measures like better convergence time with respect to decoded picture quality andcompression ratios as compared to simple back-propagation based image compression and other imagecoding techniques for color images.
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