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Retinex Jointed Multiscale CLAHE Model for HDR Image Tone Compression

Author

Listed:
  • Yu-Joong Kim

    (School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea)

  • Dong-Min Son

    (School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea)

  • Sung-Hak Lee

    (School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea)

Abstract

Tone-mapping algorithms aim to compress a wide dynamic range image into a narrower dynamic range image suitable for display on imaging devices. A representative tone-mapping algorithm, Retinex theory, reflects color constancy based on the human visual system and performs dynamic range compression. However, it may induce halo artifacts in some areas or degrade chroma and detail. Thus, this paper proposes a Retinex jointed multiscale contrast limited adaptive histogram equalization method. The proposed algorithm reduces localized halo artifacts and detail loss while maintaining the tone-compression effect via high-scale Retinex processing. A performance comparison of the experimental results between the proposed and existing methods confirms that the proposed method effectively reduces the existing problems and displays better image quality.

Suggested Citation

  • Yu-Joong Kim & Dong-Min Son & Sung-Hak Lee, 2024. "Retinex Jointed Multiscale CLAHE Model for HDR Image Tone Compression," Mathematics, MDPI, vol. 12(10), pages 1-23, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1541-:d:1395237
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