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Improving Compression Efficiency with Color Model Correlation based Cluster Coding in Visual Sensor Networks

Published on April 2012 by Jeyaprakash P, Subbulakshmi T. C
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International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 7
April 2012
Authors: Jeyaprakash P, Subbulakshmi T. C
6f2cd42e-9433-47d3-9a22-88b69e48d32b

Jeyaprakash P, Subbulakshmi T. C . Improving Compression Efficiency with Color Model Correlation based Cluster Coding in Visual Sensor Networks. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 7 (April 2012), 13-18.

@article{
author = { Jeyaprakash P, Subbulakshmi T. C },
title = { Improving Compression Efficiency with Color Model Correlation based Cluster Coding in Visual Sensor Networks },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 7 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 13-18 },
numpages = 6,
url = { /proceedings/icon3c/number7/6050-1051/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A Jeyaprakash P
%A Subbulakshmi T. C
%T Improving Compression Efficiency with Color Model Correlation based Cluster Coding in Visual Sensor Networks
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 7
%P 13-18
%D 2012
%I International Journal of Computer Applications
Abstract

Camera based Sensor node operates under resource constraints, including energy supply, computation capability, storage space, and transmission bandwidth. Therefore, a low complexity image compression scheme is needed to compress image data without damaging its quality as long as possible. The proposed image compression is based on DWT with Color Space model. In this work, the correlation between the color channels are used to propose the new algorithm that contains YCbCr color space model. By using this method the size of the image with each iteration level is analyzed.

References
  1. Jerome M. Shapiro, "Embedded Image Coding Using Zerotrees of Wavelet Coefficients", IEEE Transactions on Signal Processing, December 1993.
  2. Frederick W. Wheeler and William A. Pearlman, "Low Memory Packetized SPIHT Image Compression", IEEE Conference on Circuits and Systems, June 1999.
  3. Chun-Ling YANG, Lai-Man PO, Chun-Ho CHEUNG, Kwok-Wai CHEUNG, "A Novel Ordered-Spiht For Embedded Color Image Coding", IEEE Conferences on neural Networks and Signal Processing, December 2003.
  4. Huaming Wu and Alhussein A. Abouzid,"Energy Efficient Distributed JPEG2000 Image Compression In Multihop Wireless Networks",4th IEEE workshop on Applications and services in wireless Networks,August,2004.
  5. Karl Martin , Rastislav Lukac , Konstantinos N. Plataniotis, "Efficient Encryption of Compressed Color Images", IEEE Conference on Industrial Electronics,June 2005.
  6. Dong-U Lee, Hyungjin Kim, Mohammad Rahimi and John D. Villasenor, "Energy-Efficient Image Compression For Resource-Constrained Platforms", IEEE Image Transactions on Image Processing, Sep 2009.
  7. Mohsen Nasri, Abdelhamid Helali,Halim Sghaier & Hassen Maaref, "Adaptive image transfer for wireless sensor networks (WSNs)", IEEE International conference on design & Technology of integrated Systems in Nanoscale era,2010.
  8. Mohsen Nasri, Abdelhamid Helali,Halim Sghaier & Hassen Maaref, "Energy Efficient Wavelet Image Compression In Wireless Sensor Network", IEEE International conference on wireless and Ubiquitous Systems,2010.
  9. Sadashivappa, K. V. S Anand Babu, Dr. Srinivas K, "Color Image Compression using SPIHT Algorithm", International Journal of Computer Applications, February 2011.
  10. Ulug Bayazit, "Adaptive Spectral Transform for Wavelet-Based Color Image Compression", IEEE Transactions on Circuits and Systems for Video Technology, July 2011.
  11. Zhe-yuan xiong, xiao-ping fan, shao-qiang liu and zhi zhong, "Low Complexity Image Compression For Wireless Multimedia Sensor Networks" , Information Science and Technology (ICIST), IEEE International Conference,2011.
Index Terms

Computer Science
Information Sciences

Keywords

Visual Sensor Network Dwt (discrete Wavelet Transform) Cbcs-dwt (correlation Based Color Space Dwt) Color Channel Color Space.