Efficient Eventdrivern Frame Capture For Cmos Imagers

• doi: 10.1109/ISSPA.2007.4555607
• title: Efficient event-drivern frame capture for CMOS imagers
• publisher: IEEE
• isbn: 978-1-4244-0778-1
• issn:
• partnum: 07EX1580
• rank: 2363
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, we present an efficient event-driven frame capture technique for CMOS image sensors. In the proposed scheme, read-out is not carried out systematically and sequentially for all pixels. Instead it is initiated by each individual if its value has changed since the last frame capture. This approach is shown to lead to an efficient use of the transmission bandwidth, low power operation and improved imaging quality. Results from a 0.35 mum CMOS implementation are presented.
• article_number: 4555607
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4555607
• html_url: https://ieeexplore.ieee.org/document/4555607/
• abstract_url: https://ieeexplore.ieee.org/document/4555607/
• publication_title: 2007 9th International Symposium on Signal Processing and Its Applications
• conference_location: Sharjah, United Arab Emirates
• conference_dates: 12-15 Feb. 2007
• publication_number: 4542559
• is_number: 4555273
• publication_year: 2007
• publication_date: 12-15 Feb. 2007
• start_page: 1
• end_page: 4
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 80
• insert_date: 20080627
• index_terms:
  • ieee_terms:
    • CMOS process
    • CMOS image sensors
    • Bandwidth
    • Fabrication
    • Cameras
    • Costs
    • Pixel
    • Communication channels
    • CMOS technology
    • Electronics industry
  • dynamic_index_terms:
    • Capture Efficiency
    • Frame Capture
    • Image Sensor
    • Camera Sensor
    • Improve Image Quality
    • Low-power Operation
    • Circuitry
    • Arbitration
    • Communication Protocol
    • Network Protocol
    • Transmission Protocol
    • Motion Detection
    • Motion Sensors
    • Capacity Of Samples
    • Previous Frame
    • CMOS Process
    • Bright Pixels
    • Dark Pixels
    • Timing Jitter
    • Readout Scheme
    • Readout Strategy
• isbn_formats:
  • format: Print ISBN, value: 978-1-4244-0778-1, isbnType: New-2005
• authors:
  • Author Name: Mohamad Susli
    Affiliation: School of Electrical, Electronic and Computer Engineering, University of Western Australia, Perth, Australia
    Author URL: https://ieeexplore.ieee.org/author/37428042300
    ID: 37428042300
    Order: 1
    Author Affiliations:
    • School of Electrical, Electronic and Computer Engineering, University of Western Australia, Perth, Australia
  • Author Name: Farid Boussaid
    Affiliation: School of Electrical, Electronic and Computer Engineering, University of Western Australia, Perth, Australia
    Author URL: https://ieeexplore.ieee.org/author/37265532500
    ID: 37265532500
    Order: 2
    Author Affiliations:
    • School of Electrical, Electronic and Computer Engineering, University of Western Australia, Perth, Australia
  • Author Name: Chen Shoushun
    Affiliation: Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37294458700
    ID: 37294458700
    Order: 3
    Author Affiliations:
    • Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
  • Author Name: Amine Bermak
    Affiliation: Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37275353200
    ID: 37275353200
    Order: 4
    Author Affiliations:
    • Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: 30×30 µm
• dark_current: 10 nA/pixel

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: The technique is effective for motion detection and tracking, as in applications such as vehicle headlights detection in low-light environments.
• benefits: The proposed event-driven frame capture technique enables low power operation, efficient use of transmission bandwidth, and reduction in timing jitter, leading to improved imaging quality.

Supporting Organizations

• supported_by: Australian Research Council

Manuscript Details

• publication_date: 12-15 Feb. 2007

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • dynamic_range
  • signal_to_noise_ratio
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_28ce6be3-a386-4a41-b2e6-148501635051-efficient_eventdrivern_frame_capture_for_cmos_imagers.json