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首页> 外文期刊>Journal of Computers >N-Pattern Huffman Compression Algorithm for Medical Images in Telemedicine
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N-Pattern Huffman Compression Algorithm for Medical Images in Telemedicine

机译:远程医学图像的N模式霍夫曼压缩算法

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摘要

—The main purpose of this paper is to put forth an idea to reduce the size of the medical images to be transmitted optimally and qualitatively with the special focus in the field of telemedicine. The fact that the bandwidth factor influences the data transfer rate, the data has to be as small as possible to be transmitted and downloaded swiftly across the nets. A new method has to be proposed, where by the compression of the data could be still improved. This has been achieved by improving the existing Huffman lossless compression algorithm. The proposed N-Pattern Technique focuses on identification and grouping the different length patterns based on their intensity values and optimizing the input to the encoder for compression. On comparison with the existing method, the proposed method greatly improves the compression and the space saving with the quality of the image being still maintained.
机译:- 本文的主要目的是提出了一个想法,以减少医学图像的大小,以便在远程医疗领域的特殊焦点上最佳地和定性地传播。带宽因子影响数据传输速率的事实,数据必须尽可能小,以迅速地跨网迅速地传输和下载。必须提出一种新方法,可以通过压缩数据来提高数据。这是通过改善现有的霍夫曼无损压缩算法来实现的。所提出的N模式技术侧重于基于它们的强度值来识别和分组不同的长度模式,并优化对编码器的输入进行压缩。与现有方法相比,所提出的方法大大改善了仍然保持图像质量的压缩和节省空间。

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