2024 Vol.7 Apr.N02

• Title: A Color Restoration Technique in Low-Light Image Enhancement Processing
• Name: Yanhua LIU, Hua SHANG， QiNan ZHU， Fan WANG
• Company: School of Art and Design, Guangzhou Institute of Technology，GuangZhou 510440，China
• Abstract:

  Low-light image enhancement processing is an important research field in image processing. One of the key issues in low-light image enhancement is color restoration, which aims to recover the lost color information in the low-light conditions. This paper presents a color restoration technique in low-light image enhancement processing. The proposed technique consists of three main steps: preprocessing, color space transformation, and postprocessing. In the preprocessing step, the input low-light image is cleaned from noise and compressed. In the color space transformation step, the RGB color space is transformed to the HSV color space to improve the color fidelity. In the postprocessing step, the contrast and brightness of the image are adjusted to enhance the overall visual quality. Experimental results show that the proposed technique can effectively restore the color information in low-light images and improve the image quality.

  
  

• Keyword: color restoration; low-light image; color space transformation
• DOI: 10.12250/jpciams2024090304
• Citation form: Yanhua LIU.A Color Restoration Technique in Low-Light Image Enhancement Processing [J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.17-19

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