Computational Image Sensors For Onsensorcompression

• doi: 10.1109/MNNFS.1996.493806
• title: Computational image sensors for on-sensor-compression
• publisher: IEEE
• isbn: 0-8186-7373-7
• issn: 1086-1947
• rank: 1991
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, we propose novel image sensors which compress image signal. By making use of very fast analog processing on the imager plane, the compression sensor can significantly reduce the amount of pixel data output from the sensor. The proposed sensor is intended to overcome the communication bottle neck for high pixel rate imaging such as high frame rate imaging and high resolution imaging. The compression sensor consists of three parts; transducer, memory and processor. Two architectures for on-sensor-compression are discussed in this paper that are pixel parallel architecture and column parallel architecture. In the former architecture, the three parts are put together in each pixel, and processing is pixel parallel. In the latter architecture, transducer, processor and memory areas are separated, and processing is column parallel. We also describe a prototype chip of pixel-parallel-type sensor with 32/spl times/32 pixels which has been fabricated using 2 /spl mu/m CMOS technology. Some results of examinations are shown in this paper.
• article_number: 493806
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=493806
• html_url: https://ieeexplore.ieee.org/document/493806/
• abstract_url: https://ieeexplore.ieee.org/document/493806/
• publication_title: Proceedings of Fifth International Conference on Microelectronics for Neural Networks
• conference_location: Lausanne, Switzerland
• conference_dates: 12-14 Feb. 1996
• publication_number: 3550
• is_number: 10641
• publication_year: 1996
• publication_date: 12-14 Feb. 1996
• start_page: 297
• end_page: 304
• citing_paper_count: 1
• citing_patent_count: 13
• download_count: 71
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Image sensors
    • Image coding
    • High-resolution imaging
    • Pixel
    • Transducers
    • Parallel architectures
    • CMOS technology
    • Neck
    • Prototypes
    • Sensor phenomena and characterization
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Parallelization
    • Parallel Computing
    • Pixel Column
    • Magnitude Of Differences
    • Line Scan
    • Processing Elements
    • Image Signal
    • Nature Of Signals
    • Fill Factor
    • Adjacent Frames
    • CMOS Process
    • Differential Amplifier
    • Horizontal Shift
    • Shift Register
    • Regeneration Buffer
    • Framebuffer
    • Display Memory
    • Capacitors C2
    • Sensor Prototype
• isbn_formats:
  • format: Print ISBN, value: 0-8186-7373-7, isbnType: Historical
• authors:
  • Author Name: T. Hamamoto
    Affiliation: Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37285218100
    ID: 37285218100
    Order: 1
    Author Affiliations:
    • Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
  • Author Name: Y. Egi
    Affiliation: Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37351587900
    ID: 37351587900
    Order: 2
    Author Affiliations:
    • Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
  • Author Name: M. Hatori
    Affiliation: Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37266552900
    ID: 37266552900
    Order: 3
    Author Affiliations:
    • Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
  • Author Name: K. Aizawa
    Affiliation: Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37335828200
    ID: 37335828200
    Order: 4
    Author Affiliations:
    • Department of Electric Engineering, University of Tokyo, Bunkyo, Tokyo, Japan
  • Author Name: T. Okubo
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37086970316
    ID: 37086970316
    Order: 5
    
  • Author Name: H. Maruyama
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37339662800
    ID: 37339662800
    Order: 6
    
  • Author Name: E.R. Fossum
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37326789400
    ID: 37326789400
    Order: 7
    

Image Sensor

• sensor_type: CMOS
• resolution: 32 x 32 pixels
• dynamic_range: Not specified
• pixel_size: 170 µm x 170 µm
• 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: High pixel rate imaging and high frame rate imaging.
• benefits: On-sensor compression that significantly reduces image data output.

Supporting Organizations

• supported_by: The University of Tokyo, NHK, JPL, California Institute of Technology, and others.

Manuscript Details

• publication_date: 12-14 Feb. 1996

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • dark_current
  • sensitivity
  • frame_rate
  • signal_to_noise_ratio
  • power_consumption
  • noise
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • shutter_speed

Processed JSON Filename

request_a201f2b4-4eea-43d6-a263-dd5e31f42a86-computational_image_sensors_for_onsensorcompression.json