自适应小波技术用于医学图像的有效存储和快速网络传输

V. Kustov, P. Srinivasan, S. Mitra, S. Shishkin, D. Mehrl
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引用次数: 5

摘要

医学成像的特点是对图像的采集、存储和处理要求严格、标准高。这些要求和标准转化为需要快速处理、存储和传输的大型图像文件,最好是实时的。采用本文所述的自适应算法进行小波分解,可以最大限度地利用传统低分辨率部分的信息,从而只需要处理原始图像大小的四分之一即可进行有效的存档和传输,而不会有明显的损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive wavelet technique for effective storage and fast Internet transmission of medical images
Medical imaging is characterized by strict requirements and high standards for image acquisition, storage and processing. These requirements and standards translate into large image files that need to be processed, stored and transmitted fast, preferably in real time. Wavelet decomposition, using the adaptive algorithm described in this paper, maximizes the information in the traditional low-resolution part, thus allowing only one fourth of the size of the original image to be processed for effective archiving, and transmission without appreciable loss.
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