生物医学图像传输SPIHT算法的性能分析

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI:10.1109/ICSCN.2017.8085695

B. Panjavamam, P. Bhuvaneswari

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引用次数: 4

摘要

医疗保健服务的最新进展要求可靠地传输医学图像，如核磁共振成像和CT，以更好地诊断和治疗。有效利用可用频谱是稳定传输医疗信息的要求之一。提出的研究工作旨在提高在长期演进(LTE)网络上有效利用可用频谱进行图像传输。图像压缩技术通过消除冗余来减少数据量，从而实现有效的存储和传输。本文采用基于小波变换的SPIHT算法在不影响图像质量的前提下对医学图像进行压缩。计算质量参数，即峰值信噪比(PSNR)、均方误差(MSE)和压缩比(CR)。分析了该算法对不同类型的可变比特率医学图像的适用性。

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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Performance analysis of SPIHT algorithm for biomedical image transmission

Recent advancements in health care services demand reliable transmission of medical images such as MRI and CT for better diagnosis and treatment. The effective utilization of available spectrum is one of the requirements for stable transmission medical information. The proposed research work aims to increase the effective use of available spectrum for image transmission over Long Term Evolution (LTE) networks. Image compression techniques reduce the volume of data by removing redundancies, thereby resulting in effective storage and transmission. In this work, the wavelet based SPIHT algorithm is employed to compress the medical images without compromising on the image quality. The quality parameters, namely Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and Compression Ratio (CR) are calculated. The suitability of this algorithm for different types of medical images is analyzed with variable bit rates.

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来源期刊

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)

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