Adaptiveintegrationtime Image Sensor With Realtime Reconstruction Function

• doi: 10.1109/TED.2002.806959
• title: Adaptive-integration-time image sensor with real-time reconstruction function
• publisher: IEEE
• isbn:
• issn: 1557-9646
• rank: 1404
• access_type: LOCKED
• content_type: Journals
• abstract: A computational image sensor is proposed in which the pixel controls its integration time to light intensity. The integration time of each pixel is selected from among several lengths of integration time and the integration time is shortened if the pixel intensity becomes saturated. Although the integration time of each pixel varies, the pixel intensity is adjusted on the sensor in real time. The dynamic range of the pixel value output from the proposed sensor is greatly widened. A prototype of 64/spl times/48 pixels has been fabricated by using 2-poly 2-metal 0.8-/spl mu/m CMOS process. The proposed sensor has simple functions for the comparison of intermediate integration value and threshold to control the integration time and nonlinear image reconstruction. Because the maximum number of the comparison-reset operations during a frame is three, one of the four integration times can be selected pixel by pixel. The circuit and layout design of the prototype which has computational elements based on column parallel architecture are described and the fundamental functions have been verified. By the experiments, it has been verified that the sensor can achieve a wide dynamic range by adapting to light.
• article_number: 1185171
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1185171
• html_url: https://ieeexplore.ieee.org/document/1185171/
• abstract_url: https://ieeexplore.ieee.org/document/1185171/
• publication_title: IEEE Transactions on Electron Devices
• conference_location:
• conference_dates:
• publication_number: 16
• is_number: 26588
• publication_year: 2003
• publication_date: Jan. 2003
• start_page: 111
• end_page: 120
• citing_paper_count: 25
• citing_patent_count: 2
• download_count: 355
• insert_date: 20030310
• index_terms:
  • ieee_terms:
    • Adaptive control
    • Intelligent sensors
    • Image reconstruction
    • Integrated circuit design
    • Real time systems
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Real-time Reconstruction
    • Light Intensity
    • Dynamic Range
    • Integration Time
    • Image Reconstruction
    • Iterative Reconstruction
    • Tomographic Reconstruction
    • Pixel Intensity
    • Circuit Design
    • CMOS Process
    • Real-time Sensor
    • Computational Elements
    • Pixel Time
    • Time For Each Pixel
    • Slope Of Line
    • Conventional Imaging
    • Lineaments
    • Line A
    • Light Bulb
    • External Circuit
    • Processing Circuit
    • External Memory
    • Transducer Elements
• authors:
  • Author Name: T. Yasuda
    Affiliation: Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/38155191700
    ID: 38155191700
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan
  • Author Name: T. Hamamoto
    Affiliation: Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37285218100
    ID: 37285218100
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan
  • Author Name: K. Aizawa
    Affiliation: Department of Electrical Engineering, University of Tokyo, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37335828200
    ID: 37335828200
    Order: 3
    Author Affiliations:
    • Department of Electrical Engineering, University of Tokyo, Tokyo, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 64x48
• dynamic_range: 53.9 to 107.6 dB
• pixel_size: 30 µm
• dark_current: not specified

Optical Data

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

Performance Metrics

• frame_rate: 1400 fps
• signal_to_noise_ratio: 2.43 mVrms
• noise: 2.43 mVrms

Applications & Benefits

• cell_imaging: Enhanced dynamic range imaging for varying lighting conditions
• benefits: Wider dynamic range imaging, suitable for vehicles and other applications.

Supporting Organizations

• supported_by: Tokyo University of Science, University of Tokyo

Manuscript Details

• publication_date: Jan. 2003

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • sensitivity
  • shutter_speed
  • power_consumption

Processed JSON Filename

request_ce906eeb-7812-44c6-9ba0-78abfeb9a2a2-adaptiveintegrationtime_image_sensor_with_realtime_reconstruction_function.json