Image compression algorithm using wavelet transform

被引：0

作者：

Cadena, Luis ^{[1
]}

Cadena, Franklin ^{[2
]}

Simonov, Konstantin ^{[3
]}

Zotin, Alexander ^{[4
]}

Okhotnikov, Grigory ^{[5
]}

机构：

[1] Univ Fuerzas Armadas ESPE, Av Gral Ruminahui S-N, Sangolqui, Ecuador

[2] Colegio Juan Suarez Chacon, Quito, Ecuador

[3] Inst Computat Modelling SB RAN, 50-44 Akademgorodok Str, Krasnoyarsk, Russia

[4] Siberian State Aerosp Univ, 31 Krasnoyarsky Rabochy Pr, Krasnoyarsk, Russia

[5] St Petersburg State Univ, Univ Skaya Embankment 7-9, St Petersburg, Russia

来源：

APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIX | 2016年 / 9971卷

关键词：

signal processing; image processing; Haar wavelet; wavelet transform; compression ratio;

D O I：

10.1117/12.2235583

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Within the multi-resolution analysis, the study of the image compression algorithm using the Haar wavelet has been performed. We have studied the dependence of the image quality on the compression ratio. Also, the variation of the compression level of the studied image has been obtained. It is shown that the compression ratio in the range of 8-10 is optimal for environmental monitoring. Under these conditions the compression level is in the range of 1.7 - 4.2, depending on the type of images. It is shown that the algorithm used is more convenient and has more advantages than Winrar. The Haar wavelet algorithm has improved the method of signal and image processing.

引用

页数：9

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