An energy-efficient image representation for secure mobile systems

Authors:
Tim Woo;Catherine Gebotys;Sagar Naik
Affiliations:
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada
Venue:
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Year:
2005

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Abstract

In a mobile device, two major sources of energy consumption are energy used for computation and energy used for transmission. Computation energy can be reduced by minimizing the time spent on compression. Transmission energy and encryption energy can be reduced by sending a smaller image file that is obtained by compression. Image quality is often sacrificed in the compression process. Therefore, users should have the flexibility to control the image quality to determine whether such a tradeoff is acceptable. This paper proposes an energy efficient image representation system using Binary Space Partitioning (BSP) trees. Our experimental result shows that in most cases, our new tree construction and compression formula use only 40% of the original total energy required for compressing and sending images. BSP tree representation also allows partial encryption, which reduces total energy required for secure transmission by reducing the amount of data that needs to be encrypted. Our experimental results show that BSP tree representation is effective in reducing total energy for secure transmission for computer arts images compared to JPEG.