医学图像诊断性无损压缩-2

1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2. Pub Date : 2006-04-02 DOI:10.1109/DDHH.2006.1624789

R. Asraf, M. Akbar, N. Jafri

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引用次数: 8

摘要

提出了一种医学图像的压缩方法。这种方法被称为DLC2(诊断无损压缩-2)。为了获得无损效果，我们先对图像进行有损编码，然后再对图像进行误差编码。采用NNVQ(神经网络矢量量化器)进行有损压缩，采用霍夫曼编码对差分图像进行无损编码。这是一种空间域技术。该方法不需要进行频域变换，计算简便。与现有的标准无损压缩技术相比，该方法可以获得更高的压缩比，并且满足医学图像存档的法定要求

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Diagnostically Lossless Compression-2 of Medical Images

A method is proposed for compression of medical images. The approach is called DLC2 (Diagnostically Lossless Compression-2). To get lossless effect, we use lossy coding followed by error image coding. An NNVQ (Neural Network Vector Quantizer) is used for lossy compression and Huffman coding is used to code the difference image losslessly. It is an spatial domain technique. No frequency domain transformations are required, this makes the proposed scheme simple and computationally economical. Proposed method can achieve higher compression ratios than existing standard lossless compression techniques and also meets the legal requirement of medical image archiving

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1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2.

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