Backpropagation neural network implementation for medical image compression

Medical images require compression,before transmission or storage,due to constrained bandwidth and storage capacity. an ideal image compression system must yield high-quality compressed image with high compression ratio. in this paper,haar wavelet transform and discrete cosine transform are considered and a neural network is trained to relate the x-ray image contents to their ideal compression method and their optimum compression ratio. © 2013 kamil dimililer.