Vipro Focalplane Spatiallyoversampling Cmos Image Compression Sensor

• doi: 10.1109/CICC.2006.320945
• title: ViPro: Focal-Plane Spatially-Oversampling CMOS Image Compression Sensor
• publisher: IEEE
• isbn: 1-4244-0075-9
• issn: 2152-3630
• rank: 3962
• access_type: LOCKED
• content_type: Conferences
• abstract: The CMOS image sensor computes spatially-compressing convolutional transforms directly on the focal plane, yielding digital output at a rate proportional to the mere information rate of the video. A bank of column-parallel DeltaSigma-modulated analog-to-digital converters (ADCs) performs distributed columnwise focal-plane oversampling of a set of adjacent pixels and concurrent weighted average quantization. The number of samples per pixel and switched capacitor sampling sequence order set the amplitude and sign of the respective pixel coefficient. Outputs of a set of adjacent ADCs are accumulated to realize a two-dimensional block matrix transform in parallel for all columns. The 3.1 mm times 1.9 mm prototype, ViPro, containing a 128times128 active pixel array and a bank of 128 hybrid algorithmic DeltaSigma-modulated ADCs yields 4 GMACS (multiply-and-accumulates per second) computational throughput in real-time discrete cosine transform (DCT) video compression when scaled to HDTV 1080i resolution
• article_number: 4114947
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4114947
• html_url: https://ieeexplore.ieee.org/document/4114947/
• abstract_url: https://ieeexplore.ieee.org/document/4114947/
• publication_title: IEEE Custom Integrated Circuits Conference 2006
• conference_location: San Jose, CA, USA
• conference_dates: 10-13 Sept. 2006
• publication_number: 4114893
• is_number: 4114894
• publication_year: 2006
• publication_date: 10-13 Sept. 2006
• start_page: 233
• end_page: 236
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 129
• insert_date: 20070226
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Image coding
    • Video compression
    • Discrete cosine transforms
    • Information rates
    • Analog-digital conversion
    • Quantization
    • Capacitors
    • Sampling methods
    • Discrete transforms
  • dynamic_index_terms:
    • Focal Plane
    • Back Focal Plane
    • Image Compression
    • Block Diagonal
    • Block Matrix
    • Block Matrices
    • Discrete Cosine Transform
    • Video Compression
    • Real-time Performance
    • Real-time Processing
    • Real-time Operation
    • Wavelet Transform
    • Wavelet Coefficients
    • Integral Area
    • Digital Domain
    • Haar Wavelet
    • Spatial Kernel
    • Output Pixel
• isbn_formats:
  • format: Print ISBN, value: 1-4244-0075-9, isbnType: Historical
  • format: CD, value: 1-4244-0076-7, isbnType: Historical
• authors:
  • Author Name: Ashkan Olyaei
    Affiliation: Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada
    Author URL: https://ieeexplore.ieee.org/author/37294035600
    ID: 37294035600
    Order: 1
    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: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada

Image Sensor

• sensor_type: CMOS
• resolution: 128x128
• dynamic_range: 105 dB
• pixel_size: 10.45 µm x 10.45 µm
• dark_current: 17.5 fA/pixel

Optical Data

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

Performance Metrics

• frame_rate: 30 fps
• signal_to_noise_ratio:
• sensitivity:
• shutter_speed:
• power_consumption: 4.3 mW
• noise:

Applications & Benefits

• cell_imaging:
• benefits: Real-time video compression, efficient image processing directly on the focal plane.

Supporting Organizations

• supported_by:

Manuscript Details

• publication_date: 10-13 Sept. 2006

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise
  • cell_imaging
  • supported_by

Processed JSON Filename

request_c96cedd7-70a1-43dd-b4cb-3ae3b27e28e1-vipro_focalplane_spatiallyoversampling_cmos_image_compression_sensor.json