True Correlated Double Sampling And Comparator Design For Timebased Image Sensors

• doi: 10.1109/ISCAS.2009.5117994
• title: True correlated double sampling and comparator design for time-based image sensors
• publisher: IEEE
• isbn: 978-1-4244-3828-0
• issn: 2158-1525
• partnum: 09CH38111
• rank: 3899
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a time-domain correlated double sampling (CDS) method for time-based/PWM image sensors. The concept has been realized in the pixel circuit design for a spiking asynchronous, time-based image sensor (ATIS). The pixel circuitry includes a two-stage voltage comparator with tunable hysteresis and dynamic current control, and pixel-level state logic. The sensor, based on a 240times304 pixel array, was implemented in a standard 0.18 mum CMOS process. We present measurements from the fabricated chip and compare them to results from theoretical considerations. Implications of the proposed CDS method on the comparator design in terms of chip area and power consumption are discussed and quantified.
• article_number: 5117994
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5117994
• html_url: https://ieeexplore.ieee.org/document/5117994/
• abstract_url: https://ieeexplore.ieee.org/document/5117994/
• publication_title: 2009 IEEE International Symposium on Circuits and Systems
• conference_location: Taipei, Taiwan
• conference_dates: 24-27 May 2009
• publication_number: 5076158
• is_number: 5117665
• publication_year: 2009
• publication_date: 24-27 May 2009
• start_page: 1269
• end_page: 1272
• citing_paper_count: 21
• citing_patent_count: 0
• download_count: 2251
• insert_date: 20090626
• index_terms:
  • ieee_terms:
    • Image sampling
    • Image sensors
    • Sensor arrays
    • Pulse width modulation
    • Time domain analysis
    • Pixel
    • Circuit synthesis
    • Tunable circuits and devices
    • Hysteresis
    • Current control
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Correlated Double Sampling
    • Time-based Image
    • Power Consumption
    • Theoretical Considerations
    • CMOS Process
    • Dynamic Range
    • Integration Time
    • Current Flow
    • First Approximation
    • First-order Approximation
    • Input Voltage
    • Threshold Voltage
    • Noise Floor
    • Switching Off
    • Output Stage
    • Incident Light Intensity
    • Offset Voltage
    • Spatial Noise
    • Tail Current
    • Voltage Swing
    • Idle Mode
    • Temporal Noise
    • Transistor Size
    • Transistor Count
    • Hysteresis Control
    • Noise Injection
    • Silicon Area
    • Sensor Pixel
• isbn_formats:
  • format: CD, value: 978-1-4244-3828-0, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-3827-3, isbnType: New-2005
• authors:
  • Author Name: Daniel Matolin
    Affiliation: Austrian Research Centers GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37267061200
    ID: 37267061200
    Order: 1
    Author Affiliations:
    • Austrian Research Centers GmbH, Vienna, Austria
  • Author Name: Christoph Posch
    Affiliation: Austrian Research Centers GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37394392300
    ID: 37394392300
    Order: 2
    Author Affiliations:
    • Austrian Research Centers GmbH, Vienna, Austria
  • Author Name: Rainer Wohlgenannt
    Affiliation: Austrian Research Centers GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37395107900
    ID: 37395107900
    Order: 3
    Author Affiliations:
    • Austrian Research Centers GmbH, Vienna, Austria

Image Sensor

• sensor_type: CMOS
• resolution: 240x304
• dynamic_range: >100dB
• pixel_size: not specified
• dark_current: not specified

Optical Data

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

Performance Metrics

• power_consumption: <50nA in normal operation, fully turned off in idle mode

Applications & Benefits

• cell_imaging: not specified
• benefits: Improved dynamic range and signal-to-noise ratio due to individual integration times for each pixel.

Supporting Organizations

• supported_by: Austrian Research Centers GmbH - ARC

Manuscript Details

• publication_date: 24-27 May 2009

Relevancy Score

• score: 9
• missing_fields:
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise
  • cell_imaging

Processed JSON Filename

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