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Proceedings Paper

Image compression algorithm using wavelet transform
Author(s): Luis Cadena; Franklin Cadena; Konstantin Simonov; Alexander Zotin; Grigory Okhotnikov
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Paper Abstract

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.

Paper Details

Date Published: 28 September 2016
PDF: 9 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99711L (28 September 2016); doi: 10.1117/12.2235583
Show Author Affiliations
Luis Cadena, Univ. de las Fuerzas Armadas ESPE (Ecuador)
Franklin Cadena, Colegio Nacional Eloy Alfaro (Ecuador)
Konstantin Simonov, Institute of Computational Modeling (Russian Federation)
Alexander Zotin, Siberian State Aerospace Univ. (Russian Federation)
Grigory Okhotnikov, Saint Petersburg State Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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