Inpixel Adc Concept With Hdr Hyperbolic Compression And Cds

• doi: 10.1109/MWSCAS47672.2021.9531869
• title: In-pixel ADC concept with HDR hyperbolic compression and CDS
• publisher: IEEE
• isbn: 978-1-6654-2462-2
• issn: 1548-3746
• rank: 2766
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper introduces the novel concept of hyperbolic compression for a high dynamic range (HDR) image sensor pixel architecture featuring in-pixel analog to digital conversion (ADC), as well as correlated double sampling (CDS) to reduce DC offsets, reset noise and low frequency noise components. A major challenge for even such modest in-pixel signal processing is the layout space consumed and the resulting low fill-factor and the resultant degradation of image sensor quality and costly scaling. Purely to illustrate a concrete fill-factor, we present the (unfortunately non-functional) silicon realization in a 2D front side illumination (FSI) 0.35µm CMOS image sensor (CIS) and propose that the low fill-factor (30%) and pixel size (110µm×55µm) can be overcome in the near future in a back side illumination (BSI) implementation in an emerging ultra dense 3D sequential integration (3DSI) CMOS process, projecting a near 100% fill factor for a 4µm2 pixel in a 5-tier 28nm technology 3DSI stack.
• article_number: 9531869
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9531869
• html_url: https://ieeexplore.ieee.org/document/9531869/
• abstract_url: https://ieeexplore.ieee.org/document/9531869/
• publication_title: 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
• conference_location: Lansing, MI, USA
• conference_dates: 9-11 Aug. 2021
• publication_number: 9531648
• is_number: 9531647
• publication_year: 2021
• publication_date: 9-11 Aug. 2021
• start_page: 757
• end_page: 761
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 350
• insert_date: 20210913
• index_terms:
  • ieee_terms:
    • Three-dimensional displays
    • Image coding
    • Fill factor (solar cell)
    • Layout
    • Lighting
    • Dynamic range
    • Signal processing
  • author_terms:
    • CMOS image sensor
    • CDS
    • HDR
    • 3D sequential integration
  • dynamic_index_terms:
    • High Dynamic Range
    • High-dynamic-range
    • Dynamic Range
    • Low Noise
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Image Sensor
    • Camera Sensor
    • Fill Factor
    • Low-frequency Noise
    • Space Layout
    • High Dynamic Range Image
    • Low Fill Factor
    • 3D Integration
    • Upper Limit
    • Step Size
    • Step-size
    • State Of The Art
    • State-of-the-art
    • Image Pixels
    • Dotted Lines
    • Arbitrary Units
    • Input Values
    • Signal Values
    • Photocurrent
    • Linear Projection
    • Input Range
    • Volume Requirements
    • Intensity Requirements
    • Intensive Requirements
    • Implementation Requirements
    • Prerequisite For Implementation
    • Transistor Size
    • Transistor Count
    • Circuit Implementation
    • Digital Domain
    • Array Elements
    • Conversion Time
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-2462-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-2461-5, isbnType: New-2005
• authors:
  • Author Name: Philipp Häfliger
    Affiliation: University of Oslo
    Author URL: https://ieeexplore.ieee.org/author/37265468900
    ID: 37265468900
    Order: 1
    Author Affiliations:
    • University of Oslo
  • Author Name: Mikkel Mikkelsen
    Affiliation: University of Oslo
    Author URL: https://ieeexplore.ieee.org/author/37088963755
    ID: 37088963755
    Order: 2
    Author Affiliations:
    • University of Oslo

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: 12.04N dB (HDR projection)
• pixel_size: 4 µm² estimated for 100% fill factor, current implementation is 110 µm x 55 µm
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: The technology is applicable in image sensors for various uses including smartphones and medical devices.
• benefits: Allows for high dynamic range imaging and integration of processing within the pixel, improving performance.

Supporting Organizations

• supported_by: EU's Horizon 2020 3D-MUSE project

Manuscript Details

• publication_date: 9-11 Aug. 2021

Relevancy Score

• score: 9
• missing_fields:
  • superior sensitivity
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • on-chip colour filters
  • global or rolling shutters
  • use of microlenses

Processed JSON Filename

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