Open AccessAnalysis of image compression methods based on wavelet transforms for maritime applications
Author(s) -
T. Tereschenko,
Iuliia Yamnenko,
Oleksandr Melnychenko,
Maryna Panchenko,
Liudmyla Laikova
Publication year - 2021
Publication title -
pomorstvo
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.197
H-Index - 8
eISSN - 1846-8438
pISSN - 1332-0718
DOI - 10.31217/p.35.2.21
Subject(s) - set partitioning in hierarchical trees , wavelet , image compression , wavelet packet decomposition , wavelet transform , artificial intelligence , discrete wavelet transform , stationary wavelet transform , haar wavelet , data compression , second generation wavelet transform , compression ratio , lifting scheme , computer science , computer vision , data compression ratio , mathematics , jpeg , transformation (genetics) , image processing , image (mathematics) , engineering , internal combustion engine , automotive engineering , biochemistry , chemistry , gene
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.