DocumentCode :
3117958
Title :
Multiple dynamic range image coding for wireless sensor networks
Author :
Fang, Tao ; Fu, Cheng ; Falkowski, Bogdan J. ; Wang, Bang
Author_Institution :
Sch. of Electron. & Electr. Eng., Univ. of Leeds, Leeds
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2944
Lastpage :
2949
Abstract :
High dynamic range (HDR) images require a higher number of bits per color channel than traditional images. This brings about problems to storage and transmission, especially in distributed wireless sensor networks in which transmission capability and energy consumption are critical issues. The paper proposes a structure of compressing multiple dynamic range images, which is called multiple dynamic range (MDR) coding. MDR imaging system is attractive due to the capability of reconstructing lower dynamic range images from partial bitstream. MDR coding shows its advantages in terms of energy efficiency in distributed wireless sensor networks. The efficacy of MDR coding is also illustrated by presenting the results of encoding a series of synthetic and natural MDR images.
Keywords :
data compression; image coding; image colour analysis; image reconstruction; wireless sensor networks; MDR image coding; color channel; distributed wireless sensor network; encoding; energy consumption; multiple dynamic range; partial bitstream; Batteries; Biosensors; Dynamic range; Energy consumption; Energy efficiency; Humans; Image coding; Image sensors; Video compression; Wireless sensor networks; energy efficiency; image coding; multiple dynamic range; sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811745
Filename :
4811745
Link To Document :
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