Highquality Image Compression For Gastrointestinal Endoscope

• doi: 10.1109/BIOCAS.2007.4463330
• title: High-Quality Image Compression for Gastrointestinal Endoscope
• publisher: IEEE
• isbn: 978-1-4244-1525-0
• issn: 2163-4025
• partnum: 07EX1990
• rank: 2624
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper proposes an efficient framework of high-quality image compression method for upper Gastrointestinal tract endoscopy images. The proposed DEWC coding method saves traditional image preprocessing computations, such as demosaicking and color-space transformation, and directly utilizes raw image data acquired from CMOS sensor. R, G and B band image are then separately encoded by wavelet-based SPECK coding. In a cardinal GI tract environment, the spatial frequency distribution of red component is lower than green or blue, and green component is relatively high while compared to blue and red components. DEWC coding saves more bits on red band while allocating more bits on green and blue bands. Therefore, under a fixed compression ratio, such non-uniform bit-rate allocation may earn a better image quality. To measure quality-loss in non-uniform bit-rate allocation, a quality quantified measurement called color-distortion based on CIE94 color-difference formula is also proposed. By using analytical result of color-distortion in bit-rate and bit-rate-difference analysis, an optimal/suboptimal bit-rate allocation scheme can be found by solving linear equations derived from the relationship of color-distortion and bit-rate-difference. When comparing to general JPEG2000 compression standard, the experimental result shows that proposed DEWC coding has a better image quality in color-distortion measurement and more efficient performance in execution time.
• article_number: 4463330
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4463330
• html_url: https://ieeexplore.ieee.org/document/4463330/
• abstract_url: https://ieeexplore.ieee.org/document/4463330/
• publication_title: 2007 IEEE Biomedical Circuits and Systems Conference
• conference_location: Montreal, QC, Canada
• conference_dates: 27-30 Nov. 2007
• publication_number: 4459265
• is_number: 4463293
• publication_year: 2007
• publication_date: 27-30 Nov. 2007
• start_page: 146
• end_page: 149
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 105
• insert_date: 20080305
• index_terms:
  • ieee_terms:
    • Image coding
    • Gastrointestinal tract
    • Endoscopes
    • CMOS image sensors
    • Image quality
    • Frequency
    • Equations
    • Transform coding
    • Measurement standards
    • Time measurement
  • author_terms:
    • Gastrointestinal endoscopy
    • DWT
    • JPEG2000
    • Image compression
  • dynamic_index_terms:
    • Image Compression
    • Gastrointestinal Tract
    • Digestive Tract
    • Image Quality
    • Linear Equation
    • Raw Images
    • Upper Gastrointestinal Tract
    • Upper GI Tract
    • Image Bands
    • Blue Band
    • Compression Ratio
    • Green Components
    • Red Component
    • Blue Component
    • Wavelet
    • Peak Signal-to-noise Ratio
    • PSNR
    • Color Information
    • Color Bands
    • Image Encoder
    • Pixel Block
    • Pentium IV
• isbn_formats:
  • format: CD, value: 978-1-4244-1525-0, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1524-3, isbnType: New-2005
• authors:
  • Author Name: Lan-Rong Dung
    Affiliation: National Chiao Tung University, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37270865400
    ID: 37270865400
    Order: 1
    Author Affiliations:
    • National Chiao Tung University, Taiwan
  • Author Name: Tsung-Hsi Chiang
    Affiliation: National Chiao Tung University, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37416016900
    ID: 37416016900
    Order: 2
    Author Affiliations:
    • National Chiao Tung University, Taiwan

Image Sensor

• sensor_type: CMOS
• resolution: 512x512 pixels
• 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

Applications & Benefits

• cell_imaging: Applications in gastrointestinal endoscopy are highlighted as beneficial.
• benefits: The proposed DEWC coding method enhances image quality while executing faster than JPEG2000 compression.

Supporting Organizations

• supported_by: National Science Council, Taiwan; Chung-Shan Institute of Science and Technology, Taiwan; National Chip Implementation Center (CIC).

Manuscript Details

• publication_date: 27-30 Nov. 2007

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • 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_67c7d8c2-2f23-4e3b-b38d-c6746803708b-highquality_image_compression_for_gastrointestinal_endoscope.json