Energy-efficient image compression in mobile devices for wireless transmission

Authors:
Yamini Nimmagadda;Karthik Kumar;Yung-Hsiang Lu
Affiliations:
School of Electrical and Computer Engineering, Purdue University, Indiana;School of Electrical and Computer Engineering, Purdue University, Indiana;School of Electrical and Computer Engineering, Purdue University, Indiana
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

This paper presents an adaptive compression algorithm for mobile devices to reduce the transmission energy of images through wireless networks. Our algorithm selects different compression schemes based on the amount of details in the images and the available transmission bandwidths. At low bandwidths, significant amounts of energy can be saved because the reduction in transmission energy outweighs the additional processing energy. We implement this adaptive algorithm on an HP iPAQ hw6945 Personal Digital Assistant (PDA). The algorithm is invoked before transmitting images and is transparent to users. The average energy reduction is 20% with an average delay of 1.1 seconds.