Cmos Image Compression Sensor With Algorithmicallymultiplying Adcs

• doi: 10.1109/ISCAS.2009.5118051
• title: CMOS image compression sensor with algorithmically-multiplying ADCs
• publisher: IEEE
• isbn: 978-1-4244-3828-0
• issn: 2158-1525
• partnum: 09CH38111
• rank: 1816
• access_type: LOCKED
• content_type: Conferences
• abstract: A 128times128 CMOS image compression sensor fabricated in a 0.35 mum CMOS process is reported. It computes block-matrix and convolutional image transforms with digital kernels of up to 8times8 pixels directly on the focal plane. A pixel output is sampled only when the corresponding bit of the kernel coefficient is one. Bit-wise accumulation of adjacent pixel outputs in a column is performed by the switched-capacitor accumulator circuit. A column-parallel algorithmic multiplying ADC performs binary-weighted summation by adding the accumulator circuit outputs with cyclic residues of the same binary weight. The signal range is maintained by generating two bits per cycle. The imager performs three computations per pixel readout. Image compression experimental results at 30 fps and 8-bit output resolution are presented.
• article_number: 5118051
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5118051
• html_url: https://ieeexplore.ieee.org/document/5118051/
• abstract_url: https://ieeexplore.ieee.org/document/5118051/
• publication_title: 2009 IEEE International Symposium on Circuits and Systems
• conference_location: Taipei, Taiwan
• conference_dates: 24-27 May 2009
• publication_number: 5076158
• is_number: 5117665
• publication_year: 2009
• publication_date: 24-27 May 2009
• start_page: 1497
• end_page: 1500
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 294
• insert_date: 20090626
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Image coding
    • CMOS process
    • Kernel
    • Pixel
    • Convolution
    • Switching circuits
    • Signal generators
    • Image resolution
    • Signal resolution
  • dynamic_index_terms:
    • Image Compression
    • Focal Plane
    • Back Focal Plane
    • Per Cycle
    • Adjacent Pixels
    • Output Pixel
    • Digital Images
    • Image Sensor
    • Camera Sensor
    • Peak Signal-to-noise Ratio
    • PSNR
    • Small Power
    • Respective Coefficients
    • Discrete Cosine Transform
    • Pixel Array
    • Digital Domain
    • Capacitor Bank
    • Small Overhead
    • Clock Phase
    • Gain Stage
• isbn_formats:
  • format: CD, value: 978-1-4244-3828-0, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-3827-3, isbnType: New-2005
• authors:
  • Author Name: Alireza Nilchi
    Affiliation: Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada
    Author URL: https://ieeexplore.ieee.org/author/37391383300
    ID: 37391383300
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada
  • Author Name: Joseph Aziz
    Affiliation: Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada
    Author URL: https://ieeexplore.ieee.org/author/37298277200
    ID: 37298277200
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada
  • Author Name: Roman Genov
    Affiliation: Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada
    Author URL: https://ieeexplore.ieee.org/author/37270856200
    ID: 37270856200
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada

Image Sensor

• sensor_type: CMOS
• resolution: 128x128
• dynamic_range: N/A
• pixel_size: 15.4µm x 15.4µm
• dark_current: 36fA/pixel

Optical Data

• focal_length: N/A
• aperture: N/A
• field_of_view: N/A
• distortion: N/A

Performance Metrics

• frame_rate: 30fps
• signal_to_noise_ratio: N/A
• sensitivity: N/A
• shutter_speed: N/A
• power_consumption: 26.2mW
• noise: N/A

Applications & Benefits

• cell_imaging: N/A
• benefits: The imager performs computations on the focal plane for real-time image compression, yielding power dissipation almost equal to that of a conventional digital imager, while eliminating the need for a peripheral DSP.

Supporting Organizations

• supported_by: University of Toronto, Toronto, Ontario, Canada

Manuscript Details

• publication_date: 24-27 May 2009

Relevancy Score

• score: 10

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