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Compression for Bayer CFA Images: Review and Performance Comparison.

Kuo-Liang Chung1, Hsuan-Ying Chen1, Tsung-Lun Hsieh1

  • 1Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 10672, Taiwan.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
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This study reviews Bayer color filter array (CFA) image compression methods, comparing compression-first (CF) and demosaicing-first (DF) schemes. Results show performance differences on JPEG-2000 and VVC platforms, aiding future research.

Area of Science:

  • Digital image processing
  • Image compression techniques
  • Color filter array imaging

Background:

  • Bayer color filter array (CFA) images are standard in digital cameras.
  • Numerous compression methods exist, broadly categorized as compression-first (CF) or demosaicing-first (DF).
  • A comprehensive review comparing these schemes' performance is lacking.

Purpose of the Study:

  • To review existing CF-based and DF-based compression methods for Bayer CFA images.
  • To evaluate and compare the compression performance of these schemes.
  • To provide insights into the quality-bitrate tradeoff for different compression strategies.

Main Methods:

  • Literature review of CF-based and DF-based compression works.
  • Compression of diverse Bayer CFA image datasets (Kodak, IMAX, screen content, video) using JPEG-2000 and VVC (VTM-16.2).
Keywords:
Bayer color filter array (CFA) imagesVersatile Video Coding (VVC)chroma subsampling-then-luma modificationcompression-first-based compressiondemosaicing-first-based compressionjoint photographic experts group-2000 (JPEG-2000)quality–bitrate tradeoffreversible color transform-based compression

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  • Evaluation using objective quality metrics, perceptual quality metrics, and perceptual effects.

    • Main Results:

    • Performance comparison of CF-based (especially reversible color transform) and DF-based compression methods is presented.
    • Analysis of compression efficiency across various image types and compression platforms.
    • Detailed discussion on the quality-bitrate tradeoff for each method.

    Conclusions:

    • The study provides a comparative analysis of Bayer CFA image compression strategies.
    • Findings highlight the performance variations between CF and DF methods on modern compression standards.
    • This review serves as a valuable resource for researchers and developers in image compression.