一种新的医学图像无损压缩多分辨率预测方案

[1993] Computer-Based Medical Systems-Proceedings of the Sixth Annual IEEE Symposium Pub Date : 1993-06-13 DOI:10.1109/CBMS.1993.262994

M. Das, C. C. Li, S. Burgett

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引用次数: 4

摘要

介绍了一种新的医学图像无损压缩的多分辨率预测方案。该方案由三个连续步骤组成:即多分辨率分解、分层插值和使用二维乘法自回归模型的预测编码。将该方法与差分金字塔(DP)、简化差分金字塔(RDP)和分层插值(HINT)方法进行了性能比较。实验结果表明，与其他考虑的技术相比，该方案实现了显著更高的压缩。

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A new multiresolution predictive scheme for lossless compression of medical images

This paper introduces a new multiresolution predictive scheme for lossless compression of medical images. The proposed scheme consists of three successive steps: namely, multiresolution decomposition, hierarchical interpolation and predictive coding using two-dimensional multiplicative autoregressive models. The performance of the proposed technique is compared with three alternative techniques: namely, difference pyramid (DP), reduced difference pyramid (RDP) and hierarchical interpolation (HINT) method. The experimental results indicate that the proposed scheme achieves significantly higher compression compared to the other techniques considered.<>

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[1993] Computer-Based Medical Systems-Proceedings of the Sixth Annual IEEE Symposium

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