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Blind image quality assessment based on wavelet power spectrum in perceptual domain

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Abstract

Blind image quality assessment (BIQA) can assess the perceptual quality of a distorted image without a prior knowledge of its reference image or distortion type. In this paper, a novel BIQA model is developed in wavelet domain. Considering the multi-resolution and band-passing characteristics of discrete wavelet transform (DWT), an improvement over the power spectrum is put forward, i.e., dubbed wavelet power spectrum (WPS) estimation. Then, the concept of directional WPS is applied to simplify the calculation. Moreover, a rotationally symmetric modulation transfer function (MTF) of human visual system (HVS) is integrated as a filter, which makes the metric to be consistent with the human vision perception and more discriminative. Experiments are conducted on the LIVE databases and three other databases, and the results show that the proposed metric is highly correlated with subjective evaluations and it competes well with other state-of-the-art metrics in terms of effectiveness and robustness.

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Authors and Affiliations

  1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China

    Pengluo Lu  (路朋罗), Longxu Jin  (金龙旭) & Shuangli Han  (韩双丽)

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Pengluo Lu  (路朋罗)

  3. DFH Satellite Co., Ltd, Beijing, 100094, China

    Yongchang Li  (李永昌)

Authors
  1. Pengluo Lu  (路朋罗)
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  2. Yongchang Li  (李永昌)
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  3. Longxu Jin  (金龙旭)
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  4. Shuangli Han  (韩双丽)
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Corresponding author

Correspondence to Longxu Jin  (金龙旭).

Additional information

Lu Pengluo, born in 1988, female, doctorate student.

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Lu, P., Li, Y., Jin, L. et al. Blind image quality assessment based on wavelet power spectrum in perceptual domain. Trans. Tianjin Univ. 22, 596–602 (2016). https://doi.org/10.1007/s12209-016-2726-7

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  • DOI: https://doi.org/10.1007/s12209-016-2726-7

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