Inpixel Adc In 3D Technology
- doi: 10.1109/NEWCAS.2017.8010103
- title: In-pixel ADC in 3D technology
- publisher: IEEE
- isbn: 978-1-5090-4992-9
- issn:
- rank: 2767
- access_type: LOCKED
- content_type: Conferences
-
abstract: Decreasing size of CMOS technology plays a
key role in embedding more and more functionalities in CMOS image
sensors. By integrating sensing with processing, new types of CMOS
imaging systems can be designed and applied in domains such as machine
vision, surveillance, or medical imaging. Digital pixel sensors (DPSs)
are a good example of smart vision chips including image capturing and
processing modules. Indeed, they incorporate, for each pixel, parallel
analog-to-digital conversion thus allowing performing such conversion in
early stages. Moreover, DPSs offer several benefits such as an improved
SNR (Signal Noise Ratio) and a wider dynamic range. In addition, the
emergence of new technologies, typically CMOS 3D-IC technology, offers
the opportunity to reduce pixel area and improve fill factor, making
DPSs suitable for numerous fields of applications. This paper presents a
digital pixel sensor (DPS) integrating an in-pixel sigma-delta
analog-to-digital converter (ADC). The digital pixel includes a
photodiode, a delta-sigma modulation and a digital decimation filter,
featuring high-speed conversion, programmable resolutions (up to
10-bit). Based on the CMOS 130 nm 3D-IC Tezzaron technology, an
optimized design of the pixel is provided, revealing a high fill-factor
of about 90%.
- article_number: 8010103
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010103
-
html_url:
https://ieeexplore.ieee.org/document/8010103/
-
abstract_url:
https://ieeexplore.ieee.org/document/8010103/
-
publication_title: 2017 15th IEEE International New
Circuits and Systems Conference (NEWCAS)
- conference_location: Strasbourg, France
- conference_dates: 25-28 June 2017
- publication_number: 8001599
- is_number: 8010082
- publication_year: 2017
- publication_date: 25-28 June 2017
- start_page: 53
- end_page: 56
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 564
- insert_date: 20170814
-
index_terms:
-
ieee_terms:
- Image sensors
- Photodiodes
- CMOS technology
- Layout
- Analog-digital conversion
- Dynamic range
-
dynamic_index_terms:
- 3D Technology
- Signal-to-noise
- Signal-to-noise Ratio
- Medical Imaging
- Clinical Imaging
- Diagnostic Imaging
- Dynamic Range
- Photodiode
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- Image Sensor
- Camera Sensor
- Fill Factor
- Machine Vision
- Visual Navigation
- Digital Sensor
- Emergence Of New Technologies
- Growth Of New Technologies
- Surveillance Imaging
- Delta-sigma
- Sigma-delta
- High-resolution
- Image Processing
- Building Blocks
- Power Consumption
- Bottom Layer
- Sample Holder
- Voltage Signal
- Analog Circuits
- High Dynamic Range
- Pixel Pitch
- Bitstream
- Binary Sequence
- Digital Circuits
- Digital Circuitry
- Pixel Level
- Digital Architecture
- Silicon Area
- High Range Resolution
- Image Processing Applications
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5090-4992-9,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5090-4991-2,
isbnType: New-2005
-
authors:
-
Author Name: Nicolas Brochard
Affiliation: Le2i Laboratoire Electronique
Informatique et Image CNRS, Arts et Métiers Univ. Bourgogne
Franche-Comté, Dijon, France
Author URL:
https://ieeexplore.ieee.org/author/37086196415
ID: 37086196415
Order: 1
Author Affiliations:
-
Le2i Laboratoire Electronique Informatique et Image CNRS, Arts
et Métiers Univ. Bourgogne Franche-Comté, Dijon, France
-
Author Name: Dominique Ginhac
Affiliation: Le2i Laboratoire Electronique
Informatique et Image CNRS, Arts et Métiers Univ. Bourgogne
Franche-Comté, Dijon, France
Author URL:
https://ieeexplore.ieee.org/author/37550324400
ID: 37550324400
Order: 2
Author Affiliations:
-
Le2i Laboratoire Electronique Informatique et Image CNRS, Arts
et Métiers Univ. Bourgogne Franche-Comté, Dijon, France
Image Sensor
- sensor_type: CMOS
- resolution: Not specified in the text
- dynamic_range: 42 dB
- pixel_size: 32.5 x 32.5 µm
- dark_current: Not specified in the text
Optical Data
- focal_length: Not specified in the text
- aperture: Not specified in the text
- field_of_view: Not specified in the text
- distortion: Not specified in the text
Performance Metrics
- frame_rate: 10,000 Frames/s
- signal_to_noise_ratio: Not specified in the text
- sensitivity: Not specified in the text
- shutter_speed: Not specified in the text
- power_consumption: 17 pJ/frame
- noise: Not specified in the text
Applications & Benefits
-
cell_imaging: Applications include machine vision,
surveillance, and medical imaging.
-
benefits: Improved SNR, wider dynamic range, reduced
costs, lower power consumption, smaller size.
Supporting Organizations
-
supported_by: Direction Générale de l'Armement (DGA)
Manuscript Details
- publication_date: 25-28 June 2017
Relevancy Score
- score: 10
-
missing_fields:
- quantum_efficiency
- readout_speed
- temporal_noise
- fixed_pattern_noise
- microlenses
- on_chip_colour_filters
- global_or_rolling_shutters
- backside_illumination
Processed JSON Filename
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