A Memristor Based Image Sensor Exploiting Compressive Measurement For Lowpower Video Streaming

• doi: 10.1109/ISCAS.2017.8050795
• title: A memristor based image sensor exploiting compressive measurement for low-power video streaming
• publisher: IEEE
• isbn: 978-1-5090-1427-9
• issn: 2379-447X
• rank: 1168
• access_type: LOCKED
• content_type: Conferences
• abstract: Image sensor is a commonly used electronic device in various applications. With the increasing requirement for resolution and frame rates, the power consumption is getting significant, which limits the use of image sensors in mobile device sand IoT applications. Compressive sensing (CS) techniques can achieve sub-Nyquist sampling rate to reduce the power consumption in hardware circuits. Currently, most compressive measurements are implemented in digital CMOS circuits, leading to high hardware complexity and power consumption as well as the limited sampling speed. These drawbacks cannot support the rapid growth in performance requirement of image sensor applications. In this paper, we propose a memristor-based image sensor exploiting compressive measurement to achieve high performance with low power consumption and hardware overheads. Simulation results demonstrate the advantages of the proposed technique.
• article_number: 8050795
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050795
• html_url: https://ieeexplore.ieee.org/document/8050795/
• abstract_url: https://ieeexplore.ieee.org/document/8050795/
• publication_title: 2017 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Baltimore, MD, USA
• conference_dates: 28-31 May 2017
• publication_number: 8014728
• is_number: 8049747
• publication_year: 2017
• publication_date: 28-31 May 2017
• start_page: 1
• end_page: 4
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 314
• insert_date: 20170928
• index_terms:
  • ieee_terms:
    • Memristors
    • Image sensors
    • Image coding
    • Power demand
    • Hardware
    • Compressed sensing
    • Sparse matrices
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Compressive Measurements
    • Power Consumption
    • Internet Of Things
    • Frame Rate
    • Speed Limit
    • Hardware Circuit
    • Hardware Overhead
    • High Speed
    • Processing Speed
    • Psychomotor Speed
    • Input Signal
    • Data Transmission
    • Matrix Multiplication
    • Multiple Matrices
    • Matrix-vector Multiplication
    • Multiple Matrix
    • Image Frames
    • Detailed Operation
    • Measurement Matrix
    • Measurement Matrices
    • Compression Rate
    • Sparse Signal
    • Subsequent Frames
    • Pixel Array
    • Large Power Consumption
    • Restricted Isometry Property
    • Restricted Isometry Constant
    • Memristive Devices
    • PIN Photodiode
    • Compression Level
    • Restricted Isometry
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-1427-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-6853-7, isbnType: New-2005
• authors:
  • Author Name: Fengyu Qian
    Affiliation: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, U.S.A
    Author URL: https://ieeexplore.ieee.org/author/37085857870
    ID: 37085857870
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, U.S.A
  • Author Name: Yanping Gong
    Affiliation: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, U.S.A
    Author URL: https://ieeexplore.ieee.org/author/37085860871
    ID: 37085860871
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, U.S.A
  • Author Name: Lei Wang
    Affiliation: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, U.S.A
    Author URL: https://ieeexplore.ieee.org/author/37293100600
    ID: 37293100600
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, U.S.A

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• 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

• frame_rate: 120 fps
• power_consumption: 309.74 mW (initialization), 32.64 mW (normal read-out)

Applications & Benefits

• cell_imaging: Not specified
• benefits: Power consumption savings in AMP & ADC operations and data transmission.

Supporting Organizations

• supported_by: University of Connecticut

Manuscript Details

• publication_date: 28-31 May 2017

Relevancy Score

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

Processed JSON Filename

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