Lossless interframe compression of medical images

Xiaolin Wu, Yonggang Fang
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引用次数: 2

Abstract

A sequence of medical images is converted to a 4-dimensional volume of bits using gray code. Then an interframe sequential and intraframe interlacing prediction scheme is used for reversible image sequence compression. Higher compression ratios than the current intraframe compression methods are achieved due to interframe decorrelation.<>
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医学图像的无损帧间压缩
使用灰度码将一系列医学图像转换为4维的位体。然后采用帧间序列和帧内交错预测方案进行可逆图像序列压缩。由于帧间去相关,实现了比当前帧内压缩方法更高的压缩比。
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Lossless interframe compression of medical images Coding for compression in full-text retrieval systems A comparison of codebook generation techniques for vector quantization Progressive vector quantization of multispectral image data using a massively parallel SIMD machine Parallel algorithms for optimal compression using dictionaries with the prefix property
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