A Cmos Image Sensor With Combined Adaptivequantization And Qtdbased Onchip Compression Processor

• doi: 10.1109/CICC.2006.320903
• title: A CMOS Image Sensor with combined adaptive-quantization and QTD-based on-chip compression processor
• publisher: IEEE
• isbn: 1-4244-0075-9
• issn: 2152-3630
• rank: 560
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, a CMOS image sensor with on-chip compression processor is proposed. An adaptive quantization scheme based on boundary adaptation procedure followed by an on-line quadrant tree decomposition processing is proposed enabling low power, robust and compact image compression processor. The image sensor chip has been implemented using 0.35 mu CMOS technology and operates at 3.3 V. Simulation and experimental results show compression figures corresponding to 0.6-0.8 BPP, while maintaining reasonable PSNR levels and very low operating power consumption
• article_number: 4114971
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4114971
• html_url: https://ieeexplore.ieee.org/document/4114971/
• abstract_url: https://ieeexplore.ieee.org/document/4114971/
• 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: 329
• end_page: 332
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 111
• insert_date: 20070226
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Image coding
    • Quantization
    • CMOS technology
    • Image sensors
    • Pixel
    • Video compression
    • Sensor arrays
    • Robustness
    • PSNR
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Adaptive Quantization
    • Simulation Results
    • Adaptive Scheme
    • Powerful Imaging
    • Image Compression
    • Low Compression
    • Compact Imaging
    • Time Step
    • Image Quality
    • Photodiode
    • Binary Image
    • Tree Level
    • Codeword
    • Compression Ratio
    • Smooth Boundary
    • Pixel Array
    • Bottom Level
    • Compression Algorithm
    • Heuristic Rules
    • Adaptive Rule
    • Silicon Area
    • Efficient Decomposition
    • Sensor 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: Chen Shoushun
    Affiliation: Smart Sensory Integrated Systems Laboratory, EEE Department, Hong Kong University of Science and Technology, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37294458700
    ID: 37294458700
    Order: 1
    Author Affiliations:
    • Smart Sensory Integrated Systems Laboratory, EEE Department, Hong Kong University of Science and Technology, Hong Kong, China
  • Author Name: Amine Bermak
    Affiliation: Smart Sensory Integrated Systems Laboratory, EEE Department, Hong Kong University of Science and Technology, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37275353200
    ID: 37275353200
    Order: 2
    Author Affiliations:
    • Smart Sensory Integrated Systems Laboratory, EEE Department, Hong Kong University of Science and Technology, Hong Kong, China
  • Author Name: Wang Yan
    Affiliation: Smart Sensory Integrated Systems Laboratory, EEE Department, Hong Kong University of Science and Technology, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37291963100
    ID: 37291963100
    Order: 3
    Author Affiliations:
    • Smart Sensory Integrated Systems Laboratory, EEE Department, Hong Kong University of Science and Technology, Hong Kong, China
  • Author Name: Dominique Martinez
    Affiliation: LORIA, CNRS, Nancy, France
    Author URL: https://ieeexplore.ieee.org/author/37285880300
    ID: 37285880300
    Order: 4
    Author Affiliations:
    • LORIA, CNRS, Nancy, France

Image Sensor

• sensor_type: CMOS
• resolution: 64x64
• 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

• power_consumption: <20mW

Applications & Benefits

• cell_imaging: Not specified
• benefits: Low power consumption, compact design, improved image quality and compression ratios

Supporting Organizations

• supported_by: Hong Kong University of Science and Technology, LORIA-CNRS

Manuscript Details

• publication_date: 10-13 Sept. 2006

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

request_47e54de4-00f2-4702-811a-2180bf1f97cb-a_cmos_image_sensor_with_combined_adaptivequantization_and_qtdbased_onchip_compression_processor.json