基于小波变换的海事图像压缩方法分析

IF 0.5 Q4 TRANSPORTATION
Tetyana Теreschenko, Iuliia Yamnenko, O. Melnychenko, Maryna Panchenko, Liudmyla Laikova
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引用次数: 0

摘要

本文的目的是根据图像类型、质量和压缩要求,为选择基于小波变换的图像压缩方法提出建议。在小波图像压缩方法中,考虑了嵌入式零树小波编码器(EZW)和分层树集划分(SPIHT),并使用Haar小波和具有第一、第三、第五和第七分解级别的定向基小波变换作为基小波变换。这些压缩方法在以下参数上相互比较,并与标准JPEG方法进行比较:均方误差、最大误差、峰噪比、每像素位数、压缩比和图像大小。所提出的方法可以成功地应用于从卫星或海洋浮标获得的海底地形图像的传输。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of image compression methods based on wavelet transforms for maritime applications
The purpose of the article is to develop recommendations for choosing image compression method based on wavelet transformation, depending on image type, quality and compression requirements. Among the wavelet image compression methods, Embedded Zerotree Wavelet coder (EZW) and Set Partition In Hierarchical Trees (SPIHT) are considered, and the Haar wavelet and wavelet transformation in the oriented basis with the first, third, fifth and seventh decomposition levels is used as the base wavelet transform. These compression methods were compared with each other and with the standard JPEG method on the following parameters: mean square error, maximum error, peak to noise ratio, number of bits per pixel, compression ratio, and image size. The proposed methods can be successfully applied in the transmission of seabed relief images obtained from satellites or sea buoys.
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
19
审稿时长
8 weeks
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