A Cnndriven Locally Adaptive Cmos Image Sensor

• doi: 10.1109/ISCAS.2004.1329618
• title: A CNN-driven locally adaptive CMOS image sensor
• publisher: IEEE
• isbn: 0-7803-8251-X
• issn:
• partnum: 04CH37512
• rank: 660
• access_type: LOCKED
• content_type: Conferences
• abstract: A bioinspired model for mixed-signal array mimics the way in which images are processed in the visual pathway. Focal-plane processing of images permits local adaptation of photoreceptor structures in silicon. Beyond simple resistive grid filtering, nonlinear and anisotropic diffusion can be programmed in this CNN chip. This paper presents the local circuitry for sensors adaptation based on the mixed-signal VLSI parallel processing infrastructure in CMOS.
• article_number: 1329618
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1329618
• html_url: https://ieeexplore.ieee.org/document/1329618/
• abstract_url: https://ieeexplore.ieee.org/document/1329618/
• publication_title: 2004 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Vancouver, BC, Canada
• conference_dates: 23-26 May 2004
• publication_number: 9255
• is_number: 29376
• publication_year: 2004
• publication_date: 23-26 May 2004
• start_page: V
• end_page: V
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 163
• insert_date: 20040903
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Semiconductor device modeling
    • Photoreceptors
    • Silicon
    • Filtering
    • Anisotropic magnetoresistance
    • Cellular neural networks
    • Circuits
    • Very large scale integration
    • Parallel processing
  • dynamic_index_terms:
    • Local Adaptation
    • Visual Pathway
    • Anisotropic Diffusion
    • Silicon Structures
    • Dynamic Range
    • Visual Stimuli
    • Visual Stimulus
    • Integration Time
    • Optic Nerve
    • Photodetector
    • Average Position
    • Average Location
    • Natural Scenes
    • Natural Scenery
    • Outer Plexiform Layer
    • External Plexiform Layer
    • CNN Model
    • Average Brightness
    • Incident Light Power
    • High Dynamic Range Image
• isbn_formats:
  • format: Print ISBN, value: 0-7803-8251-X, isbnType: Historical
• authors:
  • Author Name: R. Carmona
    Affiliation: Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    Author URL: https://ieeexplore.ieee.org/author/37266310600
    ID: 37266310600
    Order: 1
    Author Affiliations:
    • Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    • Campus de la Universidad de Sevilla, Instituto de Microelectronica de Sevilla-CNM-CSIC, Sevilla, Spain
  • Author Name: C.M. Dominguez-Matas
    Affiliation: Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    Author URL: https://ieeexplore.ieee.org/author/38271007200
    ID: 38271007200
    Order: 2
    Author Affiliations:
    • Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    • Campus de la Universidad de Sevilla, Instituto de Microelectronica de Sevilla-CNM-CSIC, Sevilla, Spain
  • Author Name: J. Cuadri
    Affiliation: Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    Author URL: https://ieeexplore.ieee.org/author/37266320000
    ID: 37266320000
    Order: 3
    Author Affiliations:
    • Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    • Campus de la Universidad de Sevilla, Instituto de Microelectronica de Sevilla-CNM-CSIC, Sevilla, Spain
  • Author Name: F. Jimenez-Garrido
    Affiliation: Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    Author URL: https://ieeexplore.ieee.org/author/38277492200
    ID: 38277492200
    Order: 4
    Author Affiliations:
    • Instituto de Microelectrónica de Madrid (CNM, CSIC), Seville, Spain
    • Campus de la Universidad de Sevilla, Instituto de Microelectronica de Sevilla-CNM-CSIC, Sevilla, Spain
  • Author Name: A. Rodriguez-Vasquez
    Affiliation: Instituto de Microelectron. de Sevilla, Campus de la Univ. de Sevilla, Spain
    Author URL: https://ieeexplore.ieee.org/author/37086968727
    ID: 37086968727
    Order: 5
    Author Affiliations:
    • Instituto de Microelectron. de Sevilla, Campus de la Univ. de Sevilla, Spain

Image Sensor

• sensor_type: CMOS
• resolution: 32x32 pixels
• dynamic_range: 5 to 7 decades (approx. 100-140 dB)
• 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

• frame_rate: 25 fps
• power_consumption: 300 mW

Applications & Benefits

• cell_imaging: not specified
• benefits: Local adaptation of sensor exposure time enhances perceived image quality by extracting reflectance information from luminance.

Supporting Organizations

• supported_by: ONR Project N-000140210884, CE Project IST-1999-19007 (DICTAM), Spanish MCyT Project TIC1999-0826

Manuscript Details

• publication_date: 23-26 May 2004

Relevancy Score

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

Processed JSON Filename

request_00f41be6-e732-42a7-b867-0bf7199f19a3-a_cnndriven_locally_adaptive_cmos_image_sensor.json