Back Propagation Neural Network Based Image Compression

Compression algorithms are methods that reduce the number of symbols used to represent source information, therefore reducing the amount of space needed to store the source information or the amount of time necessary to transmit it for a given channel capacity. This paper presents a neural network based technique and wavelet based compression. A three layered Back propagation Neural Network (BPNN) was designed for building image compression system. The Back propagation neural network algorithm (BP) was Used for training the designed BPNN.

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