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A new compression technique using an artificial neural network
B. Verma, M. Blumenstein,
Published in Freund and Pettman Publishers
Volume: 9
Issue: 1
Pages: 39 - 53
In this paper, we present a direct solution method based neural network for image compression. The proposed technique includes steps to break down large images into smaller windows and eliminate redundant information. Furthermore, the technique employs a neural network that is trained by a non-iterative, direct solution method. An error backpropagation algorithm is also used to train the neural network, and both training algorithms are compared. The proposed technique has been implemented in C on the SP2 Supercomputer. A number of experiments have been conducted. The results obtained, such as compression ratio and transfer time of the compressed images are presented in this paper.
About the journal
JournalJournal of Intelligent Systems
PublisherFreund and Pettman Publishers
Open AccessNo