Lowpower Smart Cmos Image Sensors

• doi: 10.1109/ISCAS.2008.4541691
• title: Low-power “Smart” CMOS image sensors
• publisher: IEEE
• isbn: 978-1-4244-1684-4
• issn: 2158-1525
• partnum: 08CH37954
• rank: 2957
• access_type: LOCKED
• content_type: Conferences
• abstract: Fast development of low-power miniature CMOS sensors triggers their penetration to various applications, such as bio-medical applications, digital still and video cameras, cellular phones, web and security cameras and many other applications. The advantages of CMOS imagers over conventional CCD sensors are the possibility in integration of all functions required for timing, exposure control, color processing, image enhancement, image compression, analog-to-digital (ADC) conversion on the same chip and low-power operation. However, although CMOS imagers naturally provide low-power dissipation, their wide utilization in various portable battery-operated devices generates an increased demand for more aggressive power reduction. This paper presents a “smart” image sensor architecture and reviews general considerations for power reduction in CMOS image sensors at all possible design levels - technology, device, circuit, logic, architecture, algorithm and system integration.
• article_number: 4541691
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4541691
• html_url: https://ieeexplore.ieee.org/document/4541691/
• abstract_url: https://ieeexplore.ieee.org/document/4541691/
• publication_title: 2008 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Seattle, WA, USA
• conference_dates: 18-21 May 2008
• publication_number: 4534149
• is_number: 4541329
• publication_year: 2008
• publication_date: 18-21 May 2008
• start_page: 1408
• end_page: 1411
• citing_paper_count: 9
• citing_patent_count: 0
• download_count: 785
• insert_date: 20080613
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Biosensors
    • Digital cameras
    • CMOS logic circuits
    • Video compression
    • Cellular phones
    • Security
    • CMOS process
    • Charge coupled devices
    • Charge-coupled image sensors
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • CCD Camera
    • Charge-coupled Device
    • Reduction In Power
    • General Considerations
    • Image Compression
    • Security Cameras
    • Low-power Operation
    • Low-power Sensors
    • Low Voltage
    • Motion Detection
    • Motion Sensors
    • Circuit Design
    • Digital Image Processing
    • Image Optimization
    • Boundary Extraction
    • Computer Image Processing
    • Sensor Design
    • Digital Control
    • Dark Current
    • CMOS Technology
    • Digital Circuits
    • Digital Circuitry
    • Scalable Technology
    • Pixel Array
    • Rolling Shutter
    • Low-voltage Operation
    • Analog Output
    • Shift Register
    • PIN Photodiode
    • Logic Level
    • Digital Block
    • Digital Output
    • Time Block
    • Successive Approximation
• isbn_formats:
  • format: CD, value: 978-1-4244-1684-4, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1683-7, isbnType: New-2005
• authors:
  • Author Name: Alexander Fish
    Affiliation: Department of Electrical and Computer Engineering, University of Calgary, AB, Canada
    Author URL: https://ieeexplore.ieee.org/author/37268457100
    ID: 37268457100
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Calgary, AB, Canada
  • Author Name: Orly Yadid-Pecht
    Affiliation: The VLSI Systems Center, Ben-Gurion University of the Negev, Beersheba, Israel
    Author URL: https://ieeexplore.ieee.org/author/38298354100
    ID: 38298354100
    Order: 2
    Author Affiliations:
    • The VLSI Systems Center, Ben-Gurion University of the Negev, Beersheba, Israel

Image Sensor

• sensor_type: CMOS
• resolution: 512x512
• dynamic_range: Unknown
• pixel_size: 11.6µm x 11.6µm
• dark_current: Increased due to technology scaling.

Optical Data

• focal_length: Unknown
• aperture: Unknown
• field_of_view: Unknown
• distortion: Unknown

Performance Metrics

• frame_rate: Unknown
• signal_to_noise_ratio: Reduced due to technology scaling and decreased photoresponsivity
• sensitivity: Unknown
• shutter_speed: Unknown
• power_consumption: 8mW for 512x512 resolution camera; 550µW for 176x144 resolution camera
• noise: Fixed pattern noise, temporal noise sources mentioned but not quantified.

Applications & Benefits

• cell_imaging: Used in bio-medical applications like DNA sequencing, immunoassays, and gene expression.
• benefits: Low power operation, integration of functions on-chip.

Supporting Organizations

• supported_by: University of Calgary, Ben-Gurion University

Manuscript Details

• publication_date: 18-21 May 2008

Relevancy Score

• score: 10
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed

Processed JSON Filename

request_8ce6eb79-e032-4206-98ae-e4d8debb9ae4-lowpower_smart_cmos_image_sensors.json