TY - GEN
T1 - Wide dynamic range PSD algorithms and their implementation for compressive imaging
AU - Zhang, Bo
AU - Zhong, Xiaopeng
AU - Wang, Bo
AU - Sander, Pedro V.
AU - Bermak, Amine
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/29
Y1 - 2016/7/29
N2 - Planned Sensor Distortion (PSD) is a compression method that quantizes shifted signal with low bit depth. In this paper, we analyze the dynamic range loss issue in the PSD algorithm and propose two novel methods to overcome this issue: a blocked PSD, which divides the image into sub-blocks that adapt to pixel values, and an auto-reset PSD, which utilizes Markov property to recover a high dynamic range image from the modulo image. Simulation on a 3-bit depth image of indoor environment shows PSNR of 35.7dB and 35.0dB respectively after reconstruction using our algorithms. Thereafter, two different implementations for PSD are proposed, introducing shifts at either reset phase or readout phase. These circuits are then extended to be compatible with our proposed algorithms. Finally, simulation results using 0.18um GlobalFoundries process validate our designs. Spontaneous power optimization of ADC and transmission, hardware friendly feature, and the ability of high quality imaging make our compression method promising.
AB - Planned Sensor Distortion (PSD) is a compression method that quantizes shifted signal with low bit depth. In this paper, we analyze the dynamic range loss issue in the PSD algorithm and propose two novel methods to overcome this issue: a blocked PSD, which divides the image into sub-blocks that adapt to pixel values, and an auto-reset PSD, which utilizes Markov property to recover a high dynamic range image from the modulo image. Simulation on a 3-bit depth image of indoor environment shows PSNR of 35.7dB and 35.0dB respectively after reconstruction using our algorithms. Thereafter, two different implementations for PSD are proposed, introducing shifts at either reset phase or readout phase. These circuits are then extended to be compatible with our proposed algorithms. Finally, simulation results using 0.18um GlobalFoundries process validate our designs. Spontaneous power optimization of ADC and transmission, hardware friendly feature, and the ability of high quality imaging make our compression method promising.
UR - http://www.scopus.com/inward/record.url?scp=84983459002&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2016.7539156
DO - 10.1109/ISCAS.2016.7539156
M3 - Conference contribution
AN - SCOPUS:84983459002
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2727
EP - 2730
BT - ISCAS 2016 - IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Y2 - 22 May 2016 through 25 May 2016
ER -