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Blind Quality Metric via Measurement of Contrast, Texture, and Colour in Night-Time Scenario

Xiao, Shuyan ; Tao, Weige ; Wang, Yu ; Jiang, Ye ; Qian, Minqian

KSII transactions on Internet and information systems, 2021-11, Vol.15 (11), p.4043-4064 [Periódico revisado por pares]

한국인터넷정보학회

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  • Título:
    Blind Quality Metric via Measurement of Contrast, Texture, and Colour in Night-Time Scenario
  • Autor: Xiao, Shuyan ; Tao, Weige ; Wang, Yu ; Jiang, Ye ; Qian, Minqian
  • Assuntos: BIQA ; Colour ; Contrast ; Realistic night-time images ; Texture
  • É parte de: KSII transactions on Internet and information systems, 2021-11, Vol.15 (11), p.4043-4064
  • Notas: Korean Society for Internet Information
    KISTI1.1003/JNL.JAKO202102565079212
  • Descrição: Night-time image quality evaluation is an urgent requirement in visual inspection. The lighting environment of night-time results in low brightness, low contrast, loss of detailed information, and colour dissonance of image, which remains a daunting task of delicately evaluating the image quality at night. A new blind quality assessment metric is presented for realistic night-time scenario through a comprehensive consideration of contrast, texture, and colour in this article. To be specific, image blocks’ color-gray-difference (CGD) histogram that represents contrast features is computed at first. Next, texture features that are measured by the mean subtracted contrast normalized (MSCN)-weighted local binary pattern (LBP) histogram are calculated. Then statistical features in Lαβ colour space are detected. Finally, the quality prediction model is conducted by the support vector regression (SVR) based on extracted contrast, texture, and colour features. Experiments conducted on NNID, CCRIQ, LIVE-CH, and CID2013 databases indicate that the proposed metric is superior to the compared BIQA metrics.
  • Editor: 한국인터넷정보학회
  • Idioma: Coreano
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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