Optimal compression of medical images

被引：0

作者：

Habib R.U. ^{[1
]}

机构：

[1] Department of Computer Science and Information, College of Science, Majmaah University, Majmaah

来源：

International Journal of Advanced Computer Science and Applications | 2019年 / 10卷 / 04期

关键词：

Compression; Genetic programming; JPEG2000; Medical images; Quantization; Wavelet transform;

D O I：

10.14569/ijacsa.2019.0100415

中图分类号：

学科分类号：

摘要：

In today's healthcare system, medical images are playing a vital role in the diagnosis. The challenges arise to the hospital management systems (HMS) are to store and communicate the large volume of medical images generated by various imaging modalities. Efficient compression of medical images is required to reduce the bit rate to increase the storage capacity and speed-up the transmission without affecting its quality. Over the past few decades, several compression standards have been proposed. In this paper, an intelligent JPEG2000 compression scheme is presented to compress the medical images efficiently. Unlike the traditional compression techniques, genetic programming (GP)-based quantization matrices are used to quantize the wavelet coefficients of the input image. Experimental results validate the usefulness of the proposed intelligent compression scheme. © 2018 The Science and Information (SAI) Organization Limited.

引用

页码：133 / 140

页数：7

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