Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors

A decorrelation and analog-to-digital conversion scheme aiming to reduce the power consumption of infrared image sensors is presented in this paper. To exploit both intraframe redundancy and inherent photon shot noise characteristics, a column based 1D Haar analog wavelet transform combined with var...

Full description

Saved in:
Bibliographic Details
Main Authors: P. Villard, T. Thabuis, M. Belleville, G. Sicard, G. Decaens, M. Zecri
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Active and Passive Electronic Components
Online Access:http://dx.doi.org/10.1155/2012/610176
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832556613588746240
author P. Villard
T. Thabuis
M. Belleville
G. Sicard
G. Decaens
M. Zecri
author_facet P. Villard
T. Thabuis
M. Belleville
G. Sicard
G. Decaens
M. Zecri
author_sort P. Villard
collection DOAJ
description A decorrelation and analog-to-digital conversion scheme aiming to reduce the power consumption of infrared image sensors is presented in this paper. To exploit both intraframe redundancy and inherent photon shot noise characteristics, a column based 1D Haar analog wavelet transform combined with variable gain amplification prior to A/D conversion is used. This allows to use only an 11-bit ADC, instead of a 13-bit one, and to save 15% of data transfer. An 8×16 pixels test circuit demonstrates this functionality.
format Article
id doaj-art-6ae2c94198174f88b9b527a687cd31b2
institution Kabale University
issn 0882-7516
1563-5031
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Active and Passive Electronic Components
spelling doaj-art-6ae2c94198174f88b9b527a687cd31b22025-02-03T05:44:49ZengWileyActive and Passive Electronic Components0882-75161563-50312012-01-01201210.1155/2012/610176610176Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image SensorsP. Villard0T. Thabuis1M. Belleville2G. Sicard3G. Decaens4M. Zecri5CEA LETI, MINATEC Campus, 38054 Grenoble, FranceCEA LETI, MINATEC Campus, 38054 Grenoble, FranceCEA LETI, MINATEC Campus, 38054 Grenoble, FranceTIMA Laboratory, 38031 Grenoble, FranceSOFRADIR, 38113 Veurey-Voroize, FranceSOFRADIR, 38113 Veurey-Voroize, FranceA decorrelation and analog-to-digital conversion scheme aiming to reduce the power consumption of infrared image sensors is presented in this paper. To exploit both intraframe redundancy and inherent photon shot noise characteristics, a column based 1D Haar analog wavelet transform combined with variable gain amplification prior to A/D conversion is used. This allows to use only an 11-bit ADC, instead of a 13-bit one, and to save 15% of data transfer. An 8×16 pixels test circuit demonstrates this functionality.http://dx.doi.org/10.1155/2012/610176
spellingShingle P. Villard
T. Thabuis
M. Belleville
G. Sicard
G. Decaens
M. Zecri
Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors
Active and Passive Electronic Components
title Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors
title_full Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors
title_fullStr Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors
title_full_unstemmed Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors
title_short Adaptive Gain and Analog Wavelet Transform for Low-Power Infrared Image Sensors
title_sort adaptive gain and analog wavelet transform for low power infrared image sensors
url http://dx.doi.org/10.1155/2012/610176
work_keys_str_mv AT pvillard adaptivegainandanalogwavelettransformforlowpowerinfraredimagesensors
AT tthabuis adaptivegainandanalogwavelettransformforlowpowerinfraredimagesensors
AT mbelleville adaptivegainandanalogwavelettransformforlowpowerinfraredimagesensors
AT gsicard adaptivegainandanalogwavelettransformforlowpowerinfraredimagesensors
AT gdecaens adaptivegainandanalogwavelettransformforlowpowerinfraredimagesensors
AT mzecri adaptivegainandanalogwavelettransformforlowpowerinfraredimagesensors