Image Squeezing By The Wavelet Squeezing
Artikova Muazzam
Artikova Muazzam, (PhD) – associate professor of “Multimedia technologies” department of Tashkent University of Information technologies, Tashkent, Uzbekistan.
Manuscript received on 24 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 3705-3707 | Volume-8 Issue-11, September 2019. | Retrieval Number: K25490981119/2019©BEIESP | DOI: 10.35940/ijitee.K2549.0981119
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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 Processing and Pattern Recognition