A Novel Event Based Image Sensor With Spacial And Temporal Redundancy Suppression

• doi: 10.1109/NEWCAS49341.2020.9159847
• title: A Novel Event Based Image Sensor with spacial and temporal redundancy suppression
• publisher: IEEE
• isbn: 978-1-7281-7045-9
• issn:
• rank: 864
• access_type: LOCKED
• content_type: Conferences
• abstract: We present a new image sensor architecture that manages spacial and temporal redundancies. This frameless image sensor only generates few events over time in order to target an efficient power consumption compared to the commercial CMOS image sensors. Indeed, this image sensor does not generate anymore frames but events only when a change appears in the scene. Moreover, the event throughput depends on the luminance variations of the recorded scene. This means that more activity in the scene will generate more events and vice versa. Collecting events over a period of time will define an image. It is noticeable that, at each instant, the generated events characterize the area of interest (the active area) of the scene. Consequently, processing such images should requires less computing energy.
• article_number: 9159847
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9159847
• html_url: https://ieeexplore.ieee.org/document/9159847/
• abstract_url: https://ieeexplore.ieee.org/document/9159847/
• publication_title: 2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)
• conference_location: Montreal, QC, Canada
• conference_dates: 16-19 June 2020
• publication_number: 9146023
• is_number: 9159756
• publication_year: 2020
• publication_date: 16-19 June 2020
• start_page: 238
• end_page: 241
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 442
• insert_date: 20200805
• index_terms:
  • ieee_terms:
    • Voltage control
    • Redundancy
    • Kernel
    • Image sensors
    • Photodiodes
    • Standards
    • Throughput
  • author_terms:
    • Dynamic Vision Sensor
    • temporal and spacial redundancies suppression
    • event-based
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Redundancy Suppression
    • Grayscale
    • Greyscale
    • Gray Level
    • Integration Time
    • Photocurrent
    • Pixel Level
    • External System
    • High Compression
    • Pixel Coordinates
    • Sensor Output
    • Cases Of Events
    • Scene Information
    • Processing Circuit
    • Pixel Matrix
    • Pixel Matrices
    • Readout System
    • Standard Sensor
    • Time-to-digital Converter
    • Standard CMOS
    • Dynamic Vision Sensor
    • Event Camera
    • Spatial Redundancy
    • Model In MATLAB
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-7281-7045-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-7281-7044-2, isbnType: New-2005
• authors:
  • Author Name: Mohamed Akrarai
    Affiliation: CNRS, TIMA, Grenoble
    Author URL: https://ieeexplore.ieee.org/author/37088454673
    ID: 37088454673
    Order: 1
    Author Affiliations:
    • CNRS, TIMA, Grenoble
  • Author Name: Nils Margotat
    Affiliation: CNRS, TIMA, Grenoble
    Author URL: https://ieeexplore.ieee.org/author/37086484389
    ID: 37086484389
    Order: 2
    Author Affiliations:
    • CNRS, TIMA, Grenoble
  • Author Name: Gilles Sicard
    Affiliation: CEA, LETI, MINATEC Campus, Grenoble, France
    Author URL: https://ieeexplore.ieee.org/author/37295710300
    ID: 37295710300
    Order: 3
    Author Affiliations:
    • CEA, LETI, MINATEC Campus, Grenoble, France
  • Author Name: Laurent Fesquet
    Affiliation: CNRS, TIMA, Grenoble
    Author URL: https://ieeexplore.ieee.org/author/37295549700
    ID: 37295549700
    Order: 4
    Author Affiliations:
    • CNRS, TIMA, Grenoble

Image Sensor

• sensor_type: CMOS
• resolution: unknown
• dynamic_range: 120 dB
• pixel_size: unknown
• dark_current: unknown

Optical Data

• focal_length: unknown
• aperture: unknown
• field_of_view: unknown
• distortion: unknown

Performance Metrics

• frame_rate: 30 fps
• signal_to_noise_ratio: unknown
• sensitivity: unknown
• shutter_speed: unknown
• power_consumption: unknown
• noise: unknown

Applications & Benefits

• cell_imaging: unknown
• benefits: Efficient power consumption, event-based imaging for dynamic scenes.

Supporting Organizations

• supported_by: OCEAN12 project (H2020-EU.2.1.1.7 no78327)

Manuscript Details

• publication_date: 16-19 June 2020

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits

Processed JSON Filename

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