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

来源：

JOURNAL OF APPLIED MATHEMATICS | 2013年

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

页数：8

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