Image Transmission in WMSN Based on Residue Number System

Q3 Computer Science
A. Sachenko, V. Yatskiv, Jürgen Sieck, Jun Su
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引用次数: 0

Abstract

The paper considers the speedy images processing in Wireless Multimedia Sensor Networks using the Residue Number System (RNS) and the method of arithmetic coding. The proposed method has a two-stage frame: firstly, the RNS transformation is run to divide the data and obtain residues, and secondly, the parallel compression of the resulting residues is provided by employing the arithmetic coding. Within the implementation of binary code transformation in RNS one, the hardware complexity for block conversion is evaluated for various modulo sets and the results are illustrated. Authors employed the arithmetic coding for residue compression to provide the optimum of compression degree in terms of entropy assessment as well as a reduction in image redundancy without loss of quality. A research algorithm is proposed to run an experiment presented by the residues carried out on test images and other types of files. As a result, an increase in the speed of image compression of about 2.5 times is achieved by processing the small data as well as providing the parallel operation of the compression residue units by RNS selected moduli. Finally, the existing and proposed methods are compared and it has been shown the last one provides a better compression ratio of more than twice.
基于余数系统的微信网络图像传输
本文探讨了在无线多媒体传感器网络中利用残差数系统(RNS)和算术编码方法快速处理图像的问题。所提出的方法分为两个阶段:首先,运行 RNS 转换来分割数据并获得残差;其次,通过使用算术编码对所得残差进行并行压缩。在 RNS 转换的二进制编码实施过程中,对不同模数集的块转换硬件复杂性进行了评估,并对结果进行了说明。作者采用算术编码进行残差压缩,以提供熵评估方面的最佳压缩度,并在不损失质量的情况下减少图像冗余。提出了一种研究算法,以运行在测试图像和其他类型文件上进行的残留物实验。结果,通过处理小数据以及通过 RNS 所选模量提供压缩残差单元的并行操作,图像压缩速度提高了约 2.5 倍。最后,对现有方法和建议的方法进行了比较,结果表明,最后一种方法的压缩率更高,达到两倍以上。
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
International Journal of Computing
International Journal of Computing Computer Science-Computer Science (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
39
期刊介绍: The International Journal of Computing Journal was established in 2002 on the base of Branch Research Laboratory for Automated Systems and Networks, since 2005 it’s renamed as Research Institute of Intelligent Computer Systems. A goal of the Journal is to publish papers with the novel results in Computing Science and Computer Engineering and Information Technologies and Software Engineering and Information Systems within the Journal topics. The official language of the Journal is English; also papers abstracts in both Ukrainian and Russian languages are published there. The issues of the Journal are published quarterly. The Editorial Board consists of about 30 recognized worldwide scientists.
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