TY - GEN
T1 - VPIC-based image compression technique for sensor network applications
AU - Wang, Yan
AU - Bermak, Amine
AU - Boussaid, Farid
PY - 2011
Y1 - 2011
N2 - This paper examines the implementation considerations of visual pattern image coding (VPIC) algorithm for image compression on the focal plane. Several basic visual patterns that exploit the psychovisual redundancy are adopted in the VPIC coding. These patterns are essentially the same edge patterns developed in classified vector quantization (CVQ). The isometry operation is introduced to help eliminate the gradient angle and edge polarity calculation by exhaustive pattern search. By implementing the time-to-first spike (TFS) digital pixel together with the VPIC coding, the feature that TFS pixels are naturally sorted could be exploited to facilitate and simplify the block mean and gradient magnitude calculation. The reconstructed image quality in terms of Peak Signal-to-Noise Ratio (PSNR) for lena image at the 0.875 bpp could be around 29 dB. This technique is very suitable for Wireless Sensor Network (WSN) applications where image quality is not the primary concern.
AB - This paper examines the implementation considerations of visual pattern image coding (VPIC) algorithm for image compression on the focal plane. Several basic visual patterns that exploit the psychovisual redundancy are adopted in the VPIC coding. These patterns are essentially the same edge patterns developed in classified vector quantization (CVQ). The isometry operation is introduced to help eliminate the gradient angle and edge polarity calculation by exhaustive pattern search. By implementing the time-to-first spike (TFS) digital pixel together with the VPIC coding, the feature that TFS pixels are naturally sorted could be exploited to facilitate and simplify the block mean and gradient magnitude calculation. The reconstructed image quality in terms of Peak Signal-to-Noise Ratio (PSNR) for lena image at the 0.875 bpp could be around 29 dB. This technique is very suitable for Wireless Sensor Network (WSN) applications where image quality is not the primary concern.
UR - http://www.scopus.com/inward/record.url?scp=84862960092&partnerID=8YFLogxK
U2 - 10.1109/ASQED.2011.6111755
DO - 10.1109/ASQED.2011.6111755
M3 - Conference contribution
AN - SCOPUS:84862960092
SN - 9781457701443
T3 - Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
SP - 254
EP - 257
BT - Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
T2 - 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
Y2 - 19 July 2011 through 20 July 2011
ER -