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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Data Compression for Video-Conferencing using Half tone and Wavelet Transform

Author 1: Dr H.B Kekre
Author 2: Sanjay R. Sange
Author 3: Dr. Tanuja K. Sarode

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.031219

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 12, 2012.

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Abstract: Overhead of data transmission over internet is increasing exponentially every day. Optimization of natural bandwidth is the basic motive by compressing image data to the maximum extend. For the same objective, combination of lossy half tone and lossless Wavelet Transform techniques is proposed so as to obtain low-bit rate video data transmission. Decimal values of bitmapped image are to be converted into either 1 or 0 in half toning process that incur pictorial loss and gives 8:1 compression ratio (CR) irrespective of image. Wavelet Transform is applied on half tone image for higher compression for various levels. An experimental result shows the higher CR, minimum Mean Square Error (MSE). Ten sample images of different people captured by Nikon camera are used for experimentation. All images are bitmap (.BMP) 512 X 512 in size. The proposed technique can be used for video conferencing, storage of movies and CCTV footage etc.

Keywords: Half tone; Low-Bit rate; video data compression; Wavelet Tranform; Bandwidth optimization; Structural Similarity Index Measure (SSIM).

Dr H.B Kekre, Sanjay R. Sange and Dr. Tanuja K. Sarode, “Data Compression for Video-Conferencing using Half tone and Wavelet Transform ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(12), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031219

@article{Kekre2012,
title = {Data Compression for Video-Conferencing using Half tone and Wavelet Transform },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031219},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031219},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {12},
author = {Dr H.B Kekre and Sanjay R. Sange and Dr. Tanuja K. Sarode}
}


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