A Circuit For Focalplane Image Compression Using Vector Quantization

• doi: 10.1109/ISSCS.2011.5978689
• title: A circuit for focal-plane image compression using vector quantization
• publisher: IEEE
• isbn: 978-1-61284-942-3
• issn:
• partnum: 11EX5328
• rank: 1014
• access_type: LOCKED
• content_type: Conferences
• abstract: Active pixel sensors are very suitable for the implementation of a large variety of image processing algorithms at the focal plane level. We propose a new focal plane image compression algorithm that is implemented with 607 transistors inside every 4×4 pixel block of a CMOS imager, using conventional 0.35 μm integration technology. We describe the theory of the proposed method, which is based on DPCM of the average block luminance and on VQ of four low-frequency components obtained by a linear transformation applied to the local pixels. We introduce the analog hardware of the pixel block and, to validate our design, present image coding results obtained from electrical Spice simulations of 64 pixel blocks.
• article_number: 5978689
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5978689
• html_url: https://ieeexplore.ieee.org/document/5978689/
• abstract_url: https://ieeexplore.ieee.org/document/5978689/
• publication_title: ISSCS 2011 - International Symposium on Signals, Circuits and Systems
• conference_location: Iasi, Romania
• conference_dates: 30 June-1 July 2011
• publication_number: 5962067
• is_number: 5978636
• publication_year: 2011
• publication_date: 30 June-1 July 2011
• start_page: 1
• end_page: 4
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 148
• insert_date: 20110808
• index_terms:
  • ieee_terms:
    • Pixel
    • Image coding
    • Image reconstruction
    • MATLAB
    • CMOS integrated circuits
    • Decoding
  • dynamic_index_terms:
    • Focal Plane
    • Back Focal Plane
    • Image Compression
    • Vector Quantization
    • Focal Plane Images
    • Linear Transformation
    • Compression Algorithm
    • Pixel Block
    • Electric Simulation
    • Sensor Pixel
    • SPICE Simulations
    • Quantum
    • Mean Square Error
    • Mean Square Deviation
    • Block Diagram
    • Image Sensor
    • Camera Sensor
    • Binary Code
    • Bit Error
    • Digital Computer
    • Physical Layout
• isbn_formats:
  • format: CD, value: 978-1-61284-942-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-61284-944-7, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-61284-943-0, isbnType: New-2005
• authors:
  • Author Name: Fernanda D. V. R. Oliveira
    Affiliation: Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
    Author URL: https://ieeexplore.ieee.org/author/37955932900
    ID: 37955932900
    Order: 1
    Author Affiliations:
    • Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
  • Author Name: Hugo L. Haas
    Affiliation: Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
    Author URL: https://ieeexplore.ieee.org/author/37287002600
    ID: 37287002600
    Order: 2
    Author Affiliations:
    • Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
  • Author Name: José Gabriel R. C. Gomes
    Affiliation: Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
    Author URL: https://ieeexplore.ieee.org/author/37285881800
    ID: 37285881800
    Order: 3
    Author Affiliations:
    • Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
  • Author Name: Antonio Petraglia
    Affiliation: Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
    Author URL: https://ieeexplore.ieee.org/author/37270882400
    ID: 37270882400
    Order: 4
    Author Affiliations:
    • Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil

Image Sensor

• sensor_type: CMOS
• resolution: 4x4 pixel blocks
• 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

Applications & Benefits

• cell_imaging: Not specified
• benefits: Allows for a reduction in data rates at the pixel level, suitable for a variety of image processing algorithms.

Supporting Organizations

• supported_by: CNPq, FAPERJ, and FUJB/UFRJ

Manuscript Details

• publication_date: 30 June-1 July 2011

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • publication_date

Processed JSON Filename

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