Wide dynamic range PSD algorithms and their implementation for compressive imaging

Bo Zhang, Xiaopeng Zhong, Bo Wang, Pedro V. Sander, Amine Bermak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2727-2730
Number of pages4
Volume2016-July
ISBN (Electronic)9781479953400
DOIs
Publication statusPublished - 29 Jul 2016
Externally publishedYes
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: 22 May 201625 May 2016

Other

Other2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
CountryCanada
CityMontreal
Period22/5/1625/5/16

Fingerprint

Imaging techniques
Sensors
Pixels
Hardware
Networks (circuits)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Zhang, B., Zhong, X., Wang, B., Sander, P. V., & Bermak, A. (2016). Wide dynamic range PSD algorithms and their implementation for compressive imaging. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems (Vol. 2016-July, pp. 2727-2730). [7539156] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2016.7539156

Wide dynamic range PSD algorithms and their implementation for compressive imaging. / Zhang, Bo; Zhong, Xiaopeng; Wang, Bo; Sander, Pedro V.; Bermak, Amine.

ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July Institute of Electrical and Electronics Engineers Inc., 2016. p. 2727-2730 7539156.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, B, Zhong, X, Wang, B, Sander, PV & Bermak, A 2016, Wide dynamic range PSD algorithms and their implementation for compressive imaging. in ISCAS 2016 - IEEE International Symposium on Circuits and Systems. vol. 2016-July, 7539156, Institute of Electrical and Electronics Engineers Inc., pp. 2727-2730, 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montreal, Canada, 22/5/16. https://doi.org/10.1109/ISCAS.2016.7539156
Zhang B, Zhong X, Wang B, Sander PV, Bermak A. Wide dynamic range PSD algorithms and their implementation for compressive imaging. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2727-2730. 7539156 https://doi.org/10.1109/ISCAS.2016.7539156
Zhang, Bo ; Zhong, Xiaopeng ; Wang, Bo ; Sander, Pedro V. ; Bermak, Amine. / Wide dynamic range PSD algorithms and their implementation for compressive imaging. ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2727-2730
@inproceedings{13aea5f7efeb41699d817644b39c418e,
title = "Wide dynamic range PSD algorithms and their implementation for compressive imaging",
abstract = "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.",
author = "Bo Zhang and Xiaopeng Zhong and Bo Wang and Sander, {Pedro V.} and Amine Bermak",
year = "2016",
month = "7",
day = "29",
doi = "10.1109/ISCAS.2016.7539156",
language = "English",
volume = "2016-July",
pages = "2727--2730",
booktitle = "ISCAS 2016 - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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

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

UR - http://www.scopus.com/inward/citedby.url?scp=84983459002&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2016.7539156

DO - 10.1109/ISCAS.2016.7539156

M3 - Conference contribution

AN - SCOPUS:84983459002

VL - 2016-July

SP - 2727

EP - 2730

BT - ISCAS 2016 - IEEE International Symposium on Circuits and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

ER -