Backpropagation Neural Network Implementation for Medical Image Compression

Kamil Dimililer

Journal of Applied Mathematics, 2013, vol. 2013, 1-8

Abstract:

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:453098

DOI: 10.1155/2013/453098

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