Analog Cellular Image Sensor Processor Cisp

• doi: 10.1109/MWSCAS.2000.952834
• title: Analog cellular image sensor processor (CISP)
• publisher: IEEE
• isbn: 0-7803-6475-9
• issn:
• partnum: CH37144
• rank: 1610
• access_type: LOCKED
• content_type: Conferences
• abstract: An analog integrated cellular image sensor-processor (CISP) is described. The architecture uses CMOS light sensors and exploits circuit dynamics in computing image functions. Analog CISP is loosely based on the cellular neural network paradigm, but the related dynamic equations have been modified to make physical implementation more practical and robust.
• article_number: 952834
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=952834
• html_url: https://ieeexplore.ieee.org/document/952834/
• abstract_url: https://ieeexplore.ieee.org/document/952834/
• publication_title: Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)
• conference_location: Lansing, MI, USA
• conference_dates: 8-11 Aug. 2000
• publication_number: 7554
• is_number: 20602
• publication_year: 2000
• publication_date: 8-11 Aug. 2000
• start_page: 620
• end_page: 623 vol.2
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 33
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Image sensors
    • Cellular neural networks
    • Computer architecture
    • State feedback
    • Image processing
    • CMOS image sensors
    • Nonlinear equations
    • Very large scale integration
    • Circuits
    • Robustness
  • dynamic_index_terms:
    • Image Processing
    • Positive Response
    • Positive Reaction
    • Positive Feedback
    • Self-reinforcing
    • Negative Responses
    • Negative Reactions
    • Integration Process
    • Image Plane
    • Edge Detection
    • Left Edge
    • Bottom Edge
    • Top Edge
    • White Pixels
    • Horizontal Edges
• isbn_formats:
  • format: Print ISBN, value: 0-7803-6475-9, isbnType: Historical
• authors:
  • Author Name: S. Hagopian
    Affiliation: Science Parkway Center, IC Tech, Inc., Okemos, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/37442953700
    ID: 37442953700
    Order: 1
    Author Affiliations:
    • Science Parkway Center, IC Tech, Inc., Okemos, MI, USA
  • Author Name: G. Erten
    Affiliation: Science Parkway Center, IC Tech, Inc., Okemos, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/37353447800
    ID: 37353447800
    Order: 2
    Author Affiliations:
    • Science Parkway Center, IC Tech, Inc., Okemos, MI, USA

Image Sensor

• sensor_type: CMOS
• resolution: 16x16 cells
• dynamic_range: not specified
• 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

Applications & Benefits

• cell_imaging: Cell imaging in applications such as smartphones, medical devices, and automotive systems.
• benefits: Efficient computation of image functions right on the image plane.

Supporting Organizations

• supported_by: Department of the Office of Naval Research through SBIR contract N00014-98-C-0049.

Manuscript Details

• publication_date: 8-11 Aug. 2000

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • 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_4f404d9e-e77c-4251-a165-a5475c4e0382-analog_cellular_image_sensor_processor_cisp.json