Image Constrict By the Wavelet Shrink
Artikova Muazzam
Artikova Muazzam, Associate Professor, Department of Multimedia Technologies, Tashkent University of Information Technologies, Tashkent, Uzbekistan.
Manuscript received on 06 June 2019 | Revised Manuscript received on 30 June 2019 | Manuscript Published on 04 July 2019 | PP: 862-864 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A11590681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The problem of effective compression and transmission of images remains one of the most important in the field of multimedia technologies and is very promising in recent years. The article attempts to give its own interpretation of this problem and to analyze the features of the existing methods of wavelet transform, as well as to present software designed for compression of images for their compact storage and transmission through communication channels at maximum speed.
Keywords: Wavelet Compression, Compression Algorithm, Image Compression, Compression Ratio, Fourier Transform, Daubechies Wavelets.
Scope of the Article: Image Security