Compression of medical images by quaternionic wavelet transform

IF 0.4 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC EMITTER-International Journal of Engineering Technology Pub Date : 2021-05-22 DOI:10.14419/ijet.v10i2.31524
Bertrand Ledoux Ebassa Eloundou, Aimé Joseph Oyobe Okassa, Hervé Ndongo Abena, P. Ele
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引用次数: 0

Abstract

Technological developments for several years have resulted in the handling (storing, exchanging or processing) of increasingly important data in various fields and particularly in medical field. In this works we present a new image compression / decompression algorithm based on the quaternion wavelet transform (QWT). This algorithm is simple, fast and efficient. It has been applied to medical images. The results obtained after decompression are appreciated through the compression parameter values of CR, PSNR, and MSE and by visual observation. By the values of these parameters, the results of the algorithm are considered encouraging.  
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四元数小波变换对医学图像的压缩
几年来的技术发展使处理(储存、交换或处理)各个领域特别是医疗领域日益重要的数据成为可能。本文提出了一种基于四元数小波变换(QWT)的图像压缩解压缩算法。该算法简单、快速、高效。它已被应用于医学图像。通过CR、PSNR、MSE的压缩参数值和目视观察,对解压后得到的结果进行评价。从这些参数的取值来看,算法的结果是令人鼓舞的。
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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来源期刊
EMITTER-International Journal of Engineering Technology
EMITTER-International Journal of Engineering Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
自引率
0.00%
发文量
7
审稿时长
12 weeks
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