Backpropagation Neural Network Implementation for Medical Image Compression

被引:20
作者
Dimililer, Kamil [1 ]
机构
[1] Near East Univ, Elect & Elect Engn Dept, TR-10 North Cyprus, Mersin, Turkey
关键词
D O I
10.1155/2013/453098
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页数:8
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