A Low Power Jpeg Image Compression Ic For Wireless Ingestible Endoscopy

• doi: 10.1109/ISICir.2011.6131980
• title: A low power JPEG image compression IC for wireless ingestible endoscopy
• publisher: IEEE
• isbn: 978-1-61284-864-8
• issn: 2325-0631
• partnum: 11EX5309
• rank: 1131
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, a low power baseline JPEG image compressor architecture, to be interfaced directly with an image sensor, has been presented. It compresses the raster YCbCr 4:2:2 image data from the image sensor into JPEG format. The compressed image data are being packed into byte format and DMA can be used to retrieve the JPEG image. The JPEG image compression chip is designed using 0.18-μm CMOS technology. It consumes 1.69mW when compressing at 7.49 (VGA) frames per second.
• article_number: 6131980
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6131980
• html_url: https://ieeexplore.ieee.org/document/6131980/
• abstract_url: https://ieeexplore.ieee.org/document/6131980/
• publication_title: 2011 International Symposium on Integrated Circuits
• conference_location: Singapore
• conference_dates: 12-14 Dec. 2011
• publication_number: 6125294
• is_number: 6131866
• publication_year: 2011
• publication_date: 12-14 Dec. 2011
• start_page: 396
• end_page: 399
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 262
• insert_date: 20120116
• index_terms:
  • ieee_terms:
    • Transform coding
    • Image coding
    • Discrete cosine transforms
    • Random access memory
    • Image sensors
    • Compression algorithms
    • Registers
  • author_terms:
    • Discrete Cosine Transform (DCT)
    • Direct Memory Access (DMA)
    • Huffman Coding
    • JPEG
    • Image Compression
  • dynamic_index_terms:
    • Image Compression
    • Joint Photographic Experts Group
    • Imaging Data
    • Image Sensor
    • Camera Sensor
    • CMOS Technology
    • Quantum
    • Image Quality
    • Quality Factor
    • Q-factor
    • Color Space
    • Color Components
    • Peak Signal-to-noise Ratio
    • PSNR
    • Lossless
    • Income Data
    • Random Access Memory
    • Compression Ratio
    • Divisor
    • Quantification Process
    • Rows Of Data
    • Discrete Cosine Transform
    • Read Operation
    • Coding Tree
    • Huffman Coding
    • Lossy Compression
    • High Compression Ratio
    • Pipelining
    • Cured-in-place Pipe
    • Pipe Line
    • Entropy Coding
    • Entropy Encoding
    • Tagged Image File Format
    • Standard Compression
• isbn_formats:
  • format: CD, value: 978-1-61284-864-8, isbnType: New-2005
  • format: Print ISBN, value: 978-1-61284-863-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-61284-865-5, isbnType: New-2005
• authors:
  • Author Name: Wei-Da Toh
    Affiliation: Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    Author URL: https://ieeexplore.ieee.org/author/37605815600
    ID: 37605815600
    Order: 1
    Author Affiliations:
    • Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
  • Author Name: Bin Zhao
    Affiliation: Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    Author URL: https://ieeexplore.ieee.org/author/38183885000
    ID: 38183885000
    Order: 2
    Author Affiliations:
    • Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
  • Author Name: Yuan Gao
    Affiliation: Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    Author URL: https://ieeexplore.ieee.org/author/37537325800
    ID: 37537325800
    Order: 3
    Author Affiliations:
    • Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
  • Author Name: Yuanjin Zheng
    Affiliation: Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    Author URL: https://ieeexplore.ieee.org/author/37281046000
    ID: 37281046000
    Order: 4
    Author Affiliations:
    • Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
  • Author Name: Minkyu Je
    Affiliation: Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    Author URL: https://ieeexplore.ieee.org/author/37329567200
    ID: 37329567200
    Order: 5
    Author Affiliations:
    • Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
  • Author Name: Chun-Huat Heng
    Affiliation: Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    Author URL: https://ieeexplore.ieee.org/author/37273015300
    ID: 37273015300
    Order: 6
    Author Affiliations:
    • Institute of Microelectronics, ASTAR (Agency for Science, Technology and Research), Singapore
    • Department of Electrical and Computer Engineering, National University of Singapore, Singapore

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: 7.49 fps
• power_consumption: 1.69 mW

Applications & Benefits

• cell_imaging: Wireless ingestible capsule applications for medical imaging.
• benefits: Low power consumption and direct interface with image sensors.

Supporting Organizations

• supported_by: Science and Engineering Research Council of A*STAR (Agency for Science, Technology and Research), Singapore.

Manuscript Details

• publication_date: 12-14 Dec. 2011

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
  • noise

Processed JSON Filename

request_1c3ea73b-2de0-4461-ad41-97e98c91a0a6-a_low_power_jpeg_image_compression_ic_for_wireless_ingestible_endoscopy.json