Predictive Coding Onsensor Compression

• doi: 10.1109/ISCAS.2008.4541748
• title: Predictive coding on-sensor compression
• publisher: IEEE
• isbn: 978-1-4244-1684-4
• issn: 2158-1525
• partnum: 08CH37954
• rank: 3305
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents the design and measurements of a predictive coding on-sensor compression CMOS imager. Predictive coding is employed to decorrelate the image. The prediction operations are performed in the analog domain to avoid quantization noise and to decrease the area complexity of the circuit. The decorrelated image is encoded with a bank of column-parallel entropy encoders. Each encoder is combined with a single-slope analog-to-digital converter (ADC) to reduce area complexity and power consumption. The area savings resulting from such combination allow to integrate an ADC and an entropy encoder at the column level. A prototype chip was fabricated in a 0.35 μm CMOS process. The output of the chip is a compressed bit stream. The test chip occupies a silicon area of 2.60 mm × 5.96 mm which includes an 80 × 44 APS array. Tests of the fabricated chip demonstrate the validity of the design.
• article_number: 4541748
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4541748
• html_url: https://ieeexplore.ieee.org/document/4541748/
• abstract_url: https://ieeexplore.ieee.org/document/4541748/
• publication_title: 2008 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Seattle, WA, USA
• conference_dates: 18-21 May 2008
• publication_number: 4534149
• is_number: 4541329
• publication_year: 2008
• publication_date: 18-21 May 2008
• start_page: 1636
• end_page: 1639
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 127
• insert_date: 20080613
• index_terms:
  • ieee_terms:
    • Predictive coding
    • Image coding
    • Decorrelation
    • Entropy
    • Testing
    • Quantization
    • Circuit noise
    • Analog-digital conversion
    • Energy consumption
    • Prototypes
  • dynamic_index_terms:
    • Predictive Coding
    • Power Consumption
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Bitstream
    • Binary Sequence
    • Quantization Noise
    • Test Chip
    • Analog Domain
    • Silicon Area
    • Entropy Coding
    • Entropy Encoding
    • Exponential Distribution
    • Focal Plane
    • Back Focal Plane
    • Image Sensor
    • Camera Sensor
    • Codeword
    • Image Compression
    • Discrete Cosine Transform
    • Compression Algorithm
    • Lossless Compression
    • Lossless Data Compression
    • Haar Wavelet
    • Pixel Column
    • Standard Compression
• isbn_formats:
  • format: CD, value: 978-1-4244-1684-4, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1683-7, isbnType: New-2005
• authors:
  • Author Name: Walter D. Leon-Salas
    Affiliation: Computer Science Electrical Engineering, University of Missouri, Kansas City, USA
    Author URL: https://ieeexplore.ieee.org/author/38275971500
    ID: 38275971500
    Order: 1
    Author Affiliations:
    • Computer Science Electrical Engineering, University of Missouri, Kansas City, USA
  • Author Name: Sina Balkir
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
    Author URL: https://ieeexplore.ieee.org/author/37269491000
    ID: 37269491000
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
  • Author Name: Nathan Schemm
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
    Author URL: https://ieeexplore.ieee.org/author/37398759700
    ID: 37398759700
    Order: 3
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
  • Author Name: Michael W. Hoffman
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
    Author URL: https://ieeexplore.ieee.org/author/37269479800
    ID: 37269479800
    Order: 4
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
  • Author Name: Khalid Sayood
    Affiliation: Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA
    Author URL: https://ieeexplore.ieee.org/author/37269481500
    ID: 37269481500
    Order: 5
    Author Affiliations:
    • Department of Electrical Engineering, University of Nebraska, Lincolnshire, USA

Image Sensor

• sensor_type: CMOS
• resolution: 80x44
• dynamic_range: 48 dB
• pixel_size: 34μm x 30μm
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

• power_consumption: 150 mW
• noise: 0.0707 (before off-line correction), 0.0013 (after off-line correction)

Applications & Benefits

• cell_imaging: not specified
• benefits: Compression features; integrated compression on sensor reduces data rate and storage requirement.

Supporting Organizations

• supported_by: Catalyst Foundation

Manuscript Details

• publication_date: 18-21 May 2008

Relevancy Score

• score: 10
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed

Processed JSON Filename

request_3e991d89-311f-4a4e-8dd9-9ab43f8e4098-predictive_coding_onsensor_compression.json