A Study on Medical Image Compression Techniques based on Huffman Coding and Discrete Wavelet Transform (DWT)

Muhammad Akmal Shaik Mydin, M. H. Alkawaz, K. Ghafoor, Omar Farook Mohammad, Md Gapar Md Johar
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引用次数: 1

Abstract

In emergency situations, different types of medical images must be transferred from one place to another, and larger-sized images are difficult to transfer because they are time-consuming and take up more storage space. The size of the images that belongs to a single patient is very large, and it includes the resolution factor as well as diagnostic images. As a result, effective compression techniques for these medical images are required. Therefore, this paper has studied and analyzed the previous methods for the medical image compression using Huffman Coding & Discrete Wavelet Transform (DWT). This paper is also highlighted the strength and the weaknesses of Huffman Coding and Discrete Wavelet Transform (DWT) along with the parameters measurement that used for image compression.
基于霍夫曼编码和离散小波变换(DWT)的医学图像压缩技术研究
在紧急情况下,不同类型的医学图像必须从一个地方传输到另一个地方,而大尺寸的图像由于耗时和占用更多的存储空间而难以传输。属于单个患者的图像的大小非常大,它包括分辨率因子和诊断图像。因此,需要对这些医学图像进行有效的压缩技术。因此,本文对现有的基于霍夫曼编码和离散小波变换(DWT)的医学图像压缩方法进行了研究和分析。本文还重点介绍了用于图像压缩的霍夫曼编码和离散小波变换(DWT)的优缺点以及用于图像压缩的参数测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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