A No-reference Image Quality Metric Sensitive to Blur

نویسندگان

  • HONG ZHANG
  • YUAN FENG
  • DING YUAN
  • YUECHENG LI
  • MINGUI SUN
چکیده

The quality of digital image is rarely perfect and images are usually subject to distortions during acquisition, compression, transmission, processing and reproduction. No-reference (NR) image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. The aim of this paper is to develop a novel NR blur metric (NRBM) for quality evaluation of blurry image. The experimental results indicate that the proposed assessment method gives high correlation with subjective Mean Opinion Score (MOS).

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تاریخ انتشار 2012