Onchip Automatic Exposure Control Technique

• doi:
• title: On-chip Automatic Exposure Control Technique
• publisher: IEEE
• isbn:
• issn:
• rank: 3180
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper introduces techniques for the electronic variation & automatical control of exposure in solid-state image sensors. A novel electronic aperture and a simple exposure controller are described, which have been integrated on chip with a CMOS image sensor array. The technique can achieve a wide range exposure control of 40,000:1. This is equivalent to 15 stops of a mechanical iris system.
• article_number: 5468048
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5468048
• html_url: https://ieeexplore.ieee.org/document/5468048/
• abstract_url: https://ieeexplore.ieee.org/document/5468048/
• publication_title: ESSCIRC '91: Proceedings - Seventeenth European Solid-State Circuits Conference
• conference_location: Milan, Italy
• conference_dates: 11-13 Sept. 1991
• publication_number: 5467712
• is_number: 5467713
• publication_year: 1991
• publication_date: 11-13 Sept. 1991
• start_page: 281
• end_page: 284
• citing_paper_count: 0
• citing_patent_count: 29
• download_count: 110
• insert_date: 20100601
• index_terms:
  • ieee_terms:
    • Automatic control
    • Clocks
    • Apertures
    • Sensor arrays
    • Control systems
    • System-on-a-chip
    • Image sensors
    • CMOS image sensors
    • Iris
    • Machine vision
  • dynamic_index_terms:
    • Automatic Control
    • Automatic Exposure
    • Automatic Exposure Control
    • Mechanical Systems
    • Image Sensor
    • Camera Sensor
    • Sensor Array
    • Simple Control
    • Circuitry
    • Visual System
    • Integration Time
    • Sum Of The Number
    • Electronic Control
    • White Pixels
    • Black Pixels
    • Clock Period
• authors:
  • Author Name: M. Lu
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37089099101
    ID: 37089099101
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
  • Author Name: G. Wang
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37069959200
    ID: 37069959200
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
  • Author Name: D. Renshaw
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37273758100
    ID: 37273758100
    Order: 3
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
  • Author Name: P. B. Denyer
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37328579600
    ID: 37328579600
    Order: 4
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK

Image Sensor

• sensor_type: CMOS
• resolution: 312x287
• dynamic_range: 40,000:1
• 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

• shutter_speed: n/a

Applications & Benefits

• cell_imaging: Applications include single-chip CMOS video cameras and security cameras.
• benefits: Wider control range, reduced cost, power consumption, and size compared to mechanical iris systems.

Supporting Organizations

• supported_by: Science and Engineering Research Council

Manuscript Details

• publication_date: 11-13 Sept. 1991

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
  • power_consumption
  • noise

Processed JSON Filename

request_8868f955-d0cd-45b1-827a-03ff453f838f-onchip_automatic_exposure_control_technique.json