A Cmos Frontend For A Lossy Image Compression Sensor

• doi: 10.1109/ISCAS.2007.378763
• title: A CMOS Front-End for a Lossy Image Compression Sensor
• publisher: IEEE
• isbn: 1-4244-0921-7
• issn: 2158-1525
• partnum: 07CH37868
• rank: 539
• access_type: LOCKED
• content_type: Conferences
• abstract: A CMOS image sensor has been designed to perform the front-end image decomposition in a Prediction-SPIHT image compression scheme. The prediction circuitry based on charge sharing is integrated inside the sensor array to perform a 3-level image decomposition. A CMOS test chip has been prototyped and tested. The test results justify the pixel design and demonstrate that lossy prediction based focal plane image compression can be realized inside the sensor pixel array to achieve a high frame rate but with much less data readout volume. Also, the sensor can be used to achieve comparable compression performance with much lower computational complexity compared to 2D discrete wavelet transform (DWT) based image compression.
• article_number: 4253269
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4253269
• html_url: https://ieeexplore.ieee.org/document/4253269/
• abstract_url: https://ieeexplore.ieee.org/document/4253269/
• publication_title: 2007 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: New Orleans, LA, USA
• conference_dates: 27-30 May 2007
• publication_number: 4252534
• is_number: 4252535
• publication_year: 2007
• publication_date: 27-30 May 2007
• start_page: 2838
• end_page: 2841
• citing_paper_count: 4
• citing_patent_count: 1
• download_count: 181
• insert_date: 20070625
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Image coding
    • Sensor arrays
    • Circuit testing
    • Discrete wavelet transforms
    • Image decomposition
    • Pixel
    • Image sensors
    • Charge-coupled image sensors
    • Prototypes
  • dynamic_index_terms:
    • Image Compression
    • Compression Sensor
    • Focal Plane
    • Back Focal Plane
    • Image Sensor
    • Camera Sensor
    • Sensor Array
    • In-focus
    • Focal Images
    • Image Focus
    • High Frame Rate
    • Image Decomposition
    • Test Chip
    • Theoretical Value
    • Parasitic Capacitance
    • Charge Injection
    • Current Pixel
    • Nearby Pixels
• isbn_formats:
  • format: CD, value: 1-4244-0921-7, isbnType: Historical
  • format: Print ISBN, value: 1-4244-0920-9, isbnType: Historical
• authors:
  • Author Name: Zhiqiang Lin
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
    Author URL: https://ieeexplore.ieee.org/author/37086597130
    ID: 37086597130
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
  • Author Name: Michael W. Hoffman
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
    Author URL: https://ieeexplore.ieee.org/author/37269479800
    ID: 37269479800
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
  • Author Name: Walter D. Leon
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
    Author URL: https://ieeexplore.ieee.org/author/37269492100
    ID: 37269492100
    Order: 3
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
  • Author Name: Nathan Schemm
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
    Author URL: https://ieeexplore.ieee.org/author/37398759700
    ID: 37398759700
    Order: 4
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
  • Author Name: Sina Balkir
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA
    Author URL: https://ieeexplore.ieee.org/author/37269491000
    ID: 37269491000
    Order: 5
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincoln, Lincolnshire, NE, USA

Image Sensor

• sensor_type: CMOS
• resolution: 33x25 pixels
• 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: high
• noise: temporal noise and fixed-pattern noise

Applications & Benefits

• cell_imaging: Applications in smartphones, medical devices, and automotive systems.
• benefits: Achieves high frame rates with reduced data readout volume, consumes less power compared to multi-chip systems.

Supporting Organizations

• supported_by: Catalyst Foundation Grant "Focal Plane Video Compression"

Manuscript Details

• publication_date: 27-30 May 2007

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
  • power_consumption

Processed JSON Filename

request_3a83042f-be59-4f37-9297-2ba9b2410d00-a_cmos_frontend_for_a_lossy_image_compression_sensor.json