A Vlsi Chip For Wavelet Image Compression

• doi: 10.1109/ISCAS.1999.779994
• title: A VLSI chip for wavelet image compression
• publisher: IEEE
• isbn: 0-7803-5471-0
• issn:
• partnum: 99CH36349
• rank: 980
• access_type: LOCKED
• content_type: Conferences
• abstract: We have designed a VLSI chip for wavelet image compression which is especially suited for CCD area sensors as well as for new technology approaches in CMOS image sensors. The design has been developed for maximal resolutions of 3072 times 2048 pixels. The used compression algorithm gives a PSNR (peak signal to noise ratio) of up to 39 dB at 1 bit/pixel for common test images.
• article_number: 779994
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=779994
• html_url: https://ieeexplore.ieee.org/document/779994/
• abstract_url: https://ieeexplore.ieee.org/document/779994/
• publication_title: 1999 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Orlando, FL, USA
• conference_dates: 30 May-2 June 1999
• publication_number: 6311
• is_number: 16886
• publication_year: 1999
• publication_date: 30 May-2 June 1999
• start_page: 271
• end_page: 274 vol.4
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 51
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Very large scale integration
    • Image coding
    • CMOS image sensors
    • PSNR
    • Charge coupled devices
    • Charge-coupled image sensors
    • CMOS technology
    • Signal resolution
    • Compression algorithms
    • Pixel
  • dynamic_index_terms:
    • Image Compression
    • VLSI Chip
    • Image Sensor
    • Camera Sensor
    • Compression Algorithm
    • Quantum
    • Upper Limit
    • Color Images
    • Wavelet Transform
    • Wavelet Coefficients
    • Bitplane
    • Subband
    • Compression Ratio
    • Compression Rate
    • JPEG Compression
    • Quantization Bits
    • Digital Image Acquisition
• isbn_formats:
  • format: Print ISBN, value: 0-7803-5471-0, isbnType: Historical
• authors:
  • Author Name: M. Schwarzenberg
    Affiliation: Fraunhofer-Institute of Microelectronic Circuits and Systems (FhG-IMS), Dresden, Germany
    Author URL: https://ieeexplore.ieee.org/author/37371209900
    ID: 37371209900
    Order: 1
    Author Affiliations:
    • Fraunhofer-Institute of Microelectronic Circuits and Systems (FhG-IMS), Dresden, Germany
  • Author Name: M. Traber
    Affiliation: Chair of Highly Parallel VLSI-Systems and Neuromicroelectronics, Dresden University of Technology, Dresden, Germany
    Author URL: https://ieeexplore.ieee.org/author/37865405500
    ID: 37865405500
    Order: 2
    Author Affiliations:
    • Chair of Highly Parallel VLSI-Systems and Neuromicroelectronics, Dresden University of Technology, Dresden, Germany
  • Author Name: M. Scholles
    Affiliation: Fraunhofer-Institute of Microelectronic Circuits and Systems (FhG-IMS), Dresden, Germany
    Author URL: https://ieeexplore.ieee.org/author/37293728700
    ID: 37293728700
    Order: 3
    Author Affiliations:
    • Fraunhofer-Institute of Microelectronic Circuits and Systems (FhG-IMS), Dresden, Germany
  • Author Name: R. Schuffny
    Affiliation: Chair of Highly Parallel VLSI-Systems and Neuromicroelectronics, Dresden University of Technology, Dresden, Germany
    Author URL: https://ieeexplore.ieee.org/author/37266953100
    ID: 37266953100
    Order: 4
    Author Affiliations:
    • Chair of Highly Parallel VLSI-Systems and Neuromicroelectronics, Dresden University of Technology, Dresden, Germany

Image Sensor

• sensor_type: CMOS
• resolution: 3072x2048
• dynamic_range: 39 dB
• 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

Applications & Benefits

• cell_imaging: Not specified
• benefits: Better visual results than JPEG compression, graceful degradation of image quality.

Supporting Organizations

• supported_by: Fraunhofer-Institute of Microelectronic Circuits and Systems; Dresden University of Technology

Manuscript Details

• publication_date: 30 May-2 June 1999

Relevancy Score

• score: 8
• missing_fields:
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_013df4f0-52d3-448f-b9d7-da209250a587-a_vlsi_chip_for_wavelet_image_compression.json