Cmos Image Sensor With Adaptive Readout Scheme For Low Power Applications

• doi: 10.1109/MWSCAS47672.2021.9531910
• title: CMOS image sensor with adaptive readout scheme for low power applications
• publisher: IEEE
• isbn: 978-1-6654-2462-2
• issn: 1548-3746
• rank: 1834
• access_type: LOCKED
• content_type: Conferences
• abstract: An adaptive readout scheme for low-power CMOS image sensors is proposed in this paper. In the first step, the entire pixel array is partitioned into square blocks. Subsequently, the intensity range of each block is divided into a fix number of bins which are adapted to the intensity range of the block. For this purpose, the maximum and minimum intensity values in each block are obtained using winner take all circuit.The proposed scheme is implemented and simulated on standard test images. The observed peak signal-to-noise ratio for the Cameraman and Thermal image is 40.37 dB and 41.16 dB, respectively for 8×8 block size and 16 bins, with 54% saving in the total power compared to the conventional readout. An additional power saving can be observed by reducing the total number of threshold levels.
• article_number: 9531910
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9531910
• html_url: https://ieeexplore.ieee.org/document/9531910/
• abstract_url: https://ieeexplore.ieee.org/document/9531910/
• publication_title: 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
• conference_location: Lansing, MI, USA
• conference_dates: 9-11 Aug. 2021
• publication_number: 9531648
• is_number: 9531647
• publication_year: 2021
• publication_date: 9-11 Aug. 2021
• start_page: 766
• end_page: 769
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 576
• insert_date: 20210913
• index_terms:
  • ieee_terms:
    • PSNR
    • Adaptive systems
    • Circuits and systems
    • CMOS image sensors
    • Standards
    • Matlab
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Adaptive Scheme
    • Readout Scheme
    • Readout Strategy
    • Maximum And Minimum
    • Stationary Point
    • Extreme Values
    • Extremal
    • Maximum Intensity
    • Energy Conservation
    • Energy-saving
    • Infrared Imaging
    • Infrared Camera
    • Thermal Imaging
    • Thermal Camera
    • Threshold Level
    • Block Size
    • Minimum Intensity
    • Pixel Array
    • Value Of Block
    • Value Of Each Block
    • Maximum Intensity Value
    • Power Consumption
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Reduction In Power
    • Most Significant Bit
    • High Bit
    • Highest Bit
    • Number Of Followers
    • Minimum Voltage
    • Circuit Level
    • Readout Circuit
    • Current Pixel
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-2462-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-2461-5, isbnType: New-2005
• authors:
  • Author Name: Varun Kumar
    Affiliation: Indian Institute of Technology, Jodhpur, Rajasthan, India
    Author URL: https://ieeexplore.ieee.org/author/37088964080
    ID: 37088964080
    Order: 1
    Author Affiliations:
    • Indian Institute of Technology, Jodhpur, Rajasthan, India
  • Author Name: Bibhudatta Satapathy
    Affiliation: Indian Institute of Technology, Jodhpur, Rajasthan, India
    Author URL: https://ieeexplore.ieee.org/author/37088900521
    ID: 37088900521
    Order: 2
    Author Affiliations:
    • Indian Institute of Technology, Jodhpur, Rajasthan, India
  • Author Name: Wilfred Kisku
    Affiliation: Indian Institute of Technology, Jodhpur, Rajasthan, India
    Author URL: https://ieeexplore.ieee.org/author/37088896069
    ID: 37088896069
    Order: 3
    Author Affiliations:
    • Indian Institute of Technology, Jodhpur, Rajasthan, India
  • Author Name: Amandeep Kaur
    Affiliation: Indian Institute of Technology, Jodhpur, Rajasthan, India
    Author URL: https://ieeexplore.ieee.org/author/37085856535
    ID: 37085856535
    Order: 4
    Author Affiliations:
    • Indian Institute of Technology, Jodhpur, Rajasthan, India
  • Author Name: Deepak Mishra
    Affiliation: Indian Institute of Technology, Jodhpur, Rajasthan, India
    Author URL: https://ieeexplore.ieee.org/author/37085433827
    ID: 37085433827
    Order: 5
    Author Affiliations:
    • Indian Institute of Technology, Jodhpur, Rajasthan, India

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• 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

• signal_to_noise_ratio: 40.37 dB (Cameraman), 41.16 dB (Thermal)
• power_consumption: 27.84 mW (conventional), 12.78 mW (proposed)

Applications & Benefits

• cell_imaging: Applications in mobile phones, medical devices, IoT, and surveillance.
• benefits: Reduced power consumption, improved PSNR with adaptive readout scheme.

Supporting Organizations

• supported_by: Indian Institute of Technology Jodhpur, Rajasthan, India.

Manuscript Details

• publication_date: 9-11 Aug. 2021

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

request_257b2ef9-45a5-4df9-86a4-63c8c0487733-cmos_image_sensor_with_adaptive_readout_scheme_for_low_power_applications.json