A Novel Compression Method For Wireless Image Sensor Node

• doi: 10.1109/ASSCC.2007.4425761
• title: A novel compression method for wireless image sensor node
• publisher: IEEE
• isbn: 978-1-4244-1360-7
• issn:
• partnum: 07EX1850
• rank: 1211
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents the design of a novel compression method for wireless image sensor node. In order to meet the requirement of the wireless image sensor node, a dedicated filtering procedure is developed for raw Bayer CFA pattern. JPEG-LS encoder follows the filtering procedure to compress the data. The parallel and pipeline structure are chosen for the purpose of high throughput and real-time operation. The compression method is implemented using UMC 0.18 mum technology. The test results shown that the image with VGA (640times480) resolution and frame rate 15 fps can be achieved with the same clock frequency with the CMOS image sensor.
• article_number: 4425761
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4425761
• html_url: https://ieeexplore.ieee.org/document/4425761/
• abstract_url: https://ieeexplore.ieee.org/document/4425761/
• publication_title: 2007 IEEE Asian Solid-State Circuits Conference
• conference_location: Jeju
• conference_dates: 12-14 Nov. 2007
• publication_number: 4425676
• is_number: 4425677
• publication_year: 2007
• publication_date: 12-14 Nov. 2007
• start_page: 184
• end_page: 187
• citing_paper_count: 8
• citing_patent_count: 0
• download_count: 216
• insert_date: 20080107
• index_terms:
  • ieee_terms:
    • Image coding
    • Wireless sensor networks
    • Image sensors
    • Filtering
    • Pipelines
    • Throughput
    • CMOS technology
    • Testing
    • Image resolution
    • Clocks
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Wireless Sensor
    • Compression Method
    • Wireless Sensor Nodes
    • Real-time Performance
    • Real-time Processing
    • Real-time Operation
    • Filtering Procedure
    • Clock Frequency
    • Image Processing
    • Low-pass
    • Low-pass Filter
    • Sensor Networks
    • Color Space
    • Color Components
    • Image Frames
    • High Bandwidth
    • Software Implementation
    • Hardware Implementation
    • Run Length
    • Neighboring Pixels
    • Neighborhood Pixels
    • High Compression
    • Compression Ratio
    • Image Filtering
    • Image Compression
    • Lossless Compression
    • Lossless Data Compression
    • Compression Algorithm
    • High Spatial Frequency
    • Military Reconnaissance
    • Low Compression
    • High Compression Ratio
    • Base Station
    • Interpolation
• isbn_formats:
  • format: CD, value: 978-1-4244-1360-7, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1359-1, isbnType: New-2005
• authors:
  • Author Name: Xinkai Chen
    Affiliation: Department of Electronic Engineering, Tsinghua University, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087330768
    ID: 37087330768
    Order: 1
    Author Affiliations:
    • Department of Electronic Engineering, Tsinghua University, Beijing, China
  • Author Name: Hanjun Jiang
    Affiliation: Institute of Microelectronics, Tsinghua University, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087260836
    ID: 37087260836
    Order: 2
    Author Affiliations:
    • Institute of Microelectronics, Tsinghua University, Beijing, China
  • Author Name: XiaoWen Li
    Affiliation: Department of Electronic Engineering, Tsinghua University, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37085968485
    ID: 37085968485
    Order: 3
    Author Affiliations:
    • Department of Electronic Engineering, Tsinghua University, Beijing, China
  • Author Name: Zhihua Wang
    Affiliation: Institute of Microelectronics, Tsinghua University, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087074245
    ID: 37087074245
    Order: 4
    Author Affiliations:
    • Institute of Microelectronics, Tsinghua University, Beijing, China

Image Sensor

• sensor_type: CMOS
• resolution: 640x480
• 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: 15 fps
• power_consumption: 3.5 mW @ 15fps

Applications & Benefits

• cell_imaging: Used in military reconnaissance and medical treatment applications which require high-quality images.
• benefits: The proposed image compression technique reduces power consumption significantly by allowing lower data transmission requirements.

Supporting Organizations

• supported_by: National Natural Science Foundation of China (No. 6037021)

Manuscript Details

• publication_date: 12-14 Nov. 2007

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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