Title :
Energy-efficient image compression in mobile devices for wireless transmission
Author :
Nimmagadda, Yamini ; Kumar, Karthik ; Lu, Yung-Hsiang
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., Wesy Lafayette, IN, USA
fDate :
June 28 2009-July 3 2009
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.respectively.
Keywords :
data compression; image coding; radio networks; image compression; mobile devices; personal digital assistant; wireless networks; wireless transmission; Adaptive algorithm; Bandwidth; Computer networks; Energy efficiency; Image coding; Intelligent networks; Mobile computing; Personal digital assistants; Power engineering and energy; Wireless networks;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202735