• DocumentCode
    60867
  • Title

    New Image Quality Evaluation Metric for Underwater Video

  • Author

    Miao Yang ; Sowmya, Arcot

  • Author_Institution
    Dept. of Electron. & Eng., Huaihai Inst. of Technol., Lianyungang, China
  • Volume
    21
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1215
  • Lastpage
    1219
  • Abstract
    This work presents a new vectorial underwater image quality metric, dubbed the CQ, that integrates the power spectrum. Unlike existing objective underwater image quality metrics, the proposed metric consists of a discriminator C based on the slope of the log-contrast power spectrum that is able to distinguish between marine habitats when a large number of images of different environments are to be processed, and a patch-based metric Q to predict the objective quality of underwater images. Experimental results illustrate that the proposed CQ metric is able to recognize underwater images with similar sharpness and correlates better with enhancement results compared to other methods, and also meet real-time requirements.
  • Keywords
    image enhancement; image restoration; CQ metric; discriminator; log-contrast power spectrum; marine habitats; objective quality; patch-based metric; vectorial underwater image quality metric; Cameras; Image color analysis; Image quality; Lighting; Measurement; Scattering; Spectral analysis; Contrast metric; no-reference image quality assessment; power spectrum; sharpness metric; underwater image;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2330848
  • Filename
    6839096