A new compression technique using an artificial neural network

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Abstract

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.

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Verma, B., Blumenstein, M., & Kulkarni, S. (1999). A new compression technique using an artificial neural network. Journal of Intelligent Systems, 9(1), 39–53. https://doi.org/10.1515/JISYS.1999.9.1.39

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