TY - GEN
T1 - Maximizing image quality over visual sensor networks via DCT bit allocation
AU - Lee, Sungjin
AU - Lee, Sanghoon
AU - Bovik, Alan C.
PY - 2010
Y1 - 2010
N2 - Recently, VSNs (Visual Sensor Networks) are becoming of increased interest in a variety of applications. Due to power constraints at each visual sensor node, the processing of live video is constrained. In this paper, we propose a DCT (Discrete Cosine Transform)-based bit allocation scheme to maximize image quality for a given bit rate constraint. Two major featured algorithms are proposed : "SLO" (Searching from the Lowest Order) and "SPP" (Searching the Present optimal bit allocation from the Previous optimal bit allocation). The proposed algorithms reduce the search range based on a simple IQA (Image Quality Assessment) model and DCT statistics. Thus, they demonstrate low-complexity and fast computation. In the simulations, we show the superiority of the proposed algorithms over conventional approaches.
AB - Recently, VSNs (Visual Sensor Networks) are becoming of increased interest in a variety of applications. Due to power constraints at each visual sensor node, the processing of live video is constrained. In this paper, we propose a DCT (Discrete Cosine Transform)-based bit allocation scheme to maximize image quality for a given bit rate constraint. Two major featured algorithms are proposed : "SLO" (Searching from the Lowest Order) and "SPP" (Searching the Present optimal bit allocation from the Previous optimal bit allocation). The proposed algorithms reduce the search range based on a simple IQA (Image Quality Assessment) model and DCT statistics. Thus, they demonstrate low-complexity and fast computation. In the simulations, we show the superiority of the proposed algorithms over conventional approaches.
UR - http://www.scopus.com/inward/record.url?scp=77954784785&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954784785&partnerID=8YFLogxK
U2 - 10.1109/SSIAI.2010.5483917
DO - 10.1109/SSIAI.2010.5483917
M3 - Conference contribution
AN - SCOPUS:77954784785
SN - 9781424478026
T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
SP - 69
EP - 72
BT - 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
T2 - 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
Y2 - 23 May 2010 through 25 May 2010
ER -