An Efficient Lossless Medical Image Compression Method Based on Adaptive Prediction

ZHANG Xiao-ling; SHEN Lan-sun

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An Efficient Lossless Medical Image Compression Method Based on Adaptive Prediction

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- An Efficient Lossless Medical Image Compression Method Based on Adaptive Prediction
- Acta Electronica Sinica Vol. 29, Issue S1, Pages: 1914-1916(2001)
- 作者机构：
  
  北京工业大学信号与信息处理研究室,北京,100022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Published：2001
- 稿件说明：
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ZHANG Xiao-ling, SHEN Lan-sun. An Efficient Lossless Medical Image Compression Method Based on Adaptive Prediction[J]. Acta Electronica Sinica, 2001, 29(S1): 1914-1916.
DOI：

ZHANG Xiao-ling, SHEN Lan-sun. An Efficient Lossless Medical Image Compression Method Based on Adaptive Prediction[J]. Acta Electronica Sinica, 2001, 29(S1): 1914-1916. DOI：

摘要

随着数字化医学图像海量的增长及PACS系统的广泛应用

对医学图像进行高效的无损压缩已成为广泛关注的问题.本文提出一种基于自适应预测的无损压缩方法

该方法利用神经网络模型自学习的能力

自适应的调整预测器的预测系数.实验表明

该方法能有效去除X线医学图像的空间相关性

还能同时去除彩色医学图像的空间和谱间相关性

取得较高的压缩比

且编解码速度较高.

Abstract

With the rapid increase of dig itized medical image and wide application of PACS

efficient lossless medical image compression method has been highly desired.In this paper

a lossless compression method

based on adaptive prediction

is presented. This method uses neural network model to modify the prediction weight.As a result

the algorithm can remove the redundancy of X-ray medical images adaptively.In addition

it can simultaneously exploit the spatial and spectral correlation of colored medical images.Experimental results have proven the effectiveness and efficiency of this algorithm.

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