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A Review on Lossless Compression Techniques for Wireless Capsule Endoscopic Data.

Caren Babu1, D Abraham Chandy1

  • 1Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.

Current Medical Imaging
|April 24, 2020
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Summary
This summary is machine-generated.

This review examines lossless compression for wireless capsule endoscopy (WCE) videos, identifying limitations and areas for improvement in data transmission. Enhanced compression techniques are crucial for advancing real-time WCE applications.

Keywords:
Bayer CFA imagesRGB imagesWEOendoscopeslossless compression algorithmsmedical imaging

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Area of Science:

  • Medical Imaging
  • Data Compression
  • Biomedical Engineering

Background:

  • Wireless capsule endoscopy (WCE) generates large video data, posing transmission challenges due to limited bandwidth.
  • Existing compression modules in WCE systems face performance hindrances due to data size constraints.

Purpose of the Study:

  • To review lossless compression techniques for WCE videos.
  • To identify limitations in current WCE compression systems and explore potential improvements.

Main Methods:

  • Literature review focused on compression schemes with low computational complexity, power, and memory requirements for hardware implementation.
  • Analysis of lossless compression techniques for Bayer CFA and RGB images.
  • Investigation of WCE compression stages and relevant performance metrics.

Main Results:

  • Identified alternative databases (WEO, Gastrointestinal atlas) for experimentation.
  • Highlighted the need for improved pre-processing, particularly subsampling patterns, to exploit image redundancies.
  • Indicated that encoder module modification can enhance compression efficiency.

Conclusions:

  • This review provides an update on WCE compression, offering insights and guidance for future research.
  • Further exploration in real-time endoscopy compression is recommended.