TY - GEN
T1 - Reduced dimension Vector Quantization encoding method for image compression
AU - Wang, Yan
AU - Bermak, Amine
AU - Boussaid, Farid
PY - 2011
Y1 - 2011
N2 - The codebook and image block compression by Compressive Sampling (CS) in Vector Quantization (VQ) is proposed for image coding. Both the memory storage and the computational complexity in the VQ Encoder could be reduced for resources constrained applications. The deteriorated image produced by only using the first m transformed coefficients for codebook search could be restored and enhanced with a convex optimization program called l 1-norm minimization in the decoder. The computational intensive process is shifted from the encoder to the decoder. This feature allows it to be suitable for wireless sensor network applications.
AB - The codebook and image block compression by Compressive Sampling (CS) in Vector Quantization (VQ) is proposed for image coding. Both the memory storage and the computational complexity in the VQ Encoder could be reduced for resources constrained applications. The deteriorated image produced by only using the first m transformed coefficients for codebook search could be restored and enhanced with a convex optimization program called l 1-norm minimization in the decoder. The computational intensive process is shifted from the encoder to the decoder. This feature allows it to be suitable for wireless sensor network applications.
UR - http://www.scopus.com/inward/record.url?scp=84863262059&partnerID=8YFLogxK
U2 - 10.1109/IDT.2011.6123112
DO - 10.1109/IDT.2011.6123112
M3 - Conference contribution
AN - SCOPUS:84863262059
SN - 9781467304689
T3 - International Design and Test Workshop
SP - 110
EP - 113
BT - 2011 IEEE 6th International Design and Test Workshop, IDT 2011
T2 - 2011 IEEE 6th International Design and Test Workshop, IDT 2011
Y2 - 11 December 2011 through 14 December 2011
ER -