Image Compression Technique Using a Hierarchical Neural Network
AL-Rafidain Journal of Computer Sciences and Mathematics,
2006, Volume 3, Issue 2, Pages 99-112
AbstractThis paper present a Resilient Backpropagation (RBP) algorithm based on hierarchical neural network for image compression. The proposed technique includes steps to break down large images into smaller blocks for image compression/ decompression process. Furthermore, a Linear Backpropagation (LBP) algorithm is also used to train hierarchical neural network, and both training algorithms are compared. A number of experiments have been achieved, the results obtained, are the compression rate and Peak Signal to Noise Ratio of the compressed/ decompressed images which are presented in this paper.
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