A Just Noticeable Diference‑Based Video Quality Assessment Method with Low Computational Complexity

Bong, David Liang Bong and Loh, Woei-Tan (2018) A Just Noticeable Diference‑Based Video Quality Assessment Method with Low Computational Complexity. Sensing and Imaging, 19:33. pp. 1-20. ISSN 1557-2072

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Abstract

A Just Noticeable Diference (JND)-based video quality assessment (VQA) method is proposed. This method, termed as JVQ, applies JND concept to structural similarity (SSIM) index to measure the spatial quality. JVQ incorporates three features, i.e. luminance adaptation, contrast masking, and texture masking. In JVQ, the concept of JND is refned and more features are considered. For the spatial part, minor distortions in the distorted frames are ignored and considered imperceptible. For the temporal part, SSIM index is simplifed and used to measure the temporal video quality. Then, a similar JND concept which comprises of temporal masking is also applied in the temporal quality evaluation. Pixels with large variation over time are considered as not distorted because the distortions in these pixels are hardly perceivable. The fnal JVQ index is the arithmetic mean of both spatial and temporal quality indices. JVQ is found to achieve good correlation with subjective scores. In addition, this method has low computational cost as compared to existing state-of-the-art metrics.

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