Abstract
Present research on image quality assessment prefers to apply visual attention in the metrics to improve their performances, whereas the discussion on whether this introduction will really enhance the evaluation ability still does not have a clear conclusion. Instead of using visual attention, we propose a metric based on a new concept, Visual Quality Saliency, which is more consistent with Human Visual System. This new concept indicates that image quality is mainly determined by some specific regions from the view of visual quality. By introducing two new and simple low-level features, namely sharpness and smoothness, our Visual Quality Saliency based metric (VQSM) can accurately and blindly assesses image quality without any specific design for different distortions . To further demonstrate the superiority and wide applicability of VQSM, we test it on TID2008 database and make a comparison with some other state-of-the-art metrics.
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Cai, Z., Zhang, Q., Wen, L. (2012). No-Reference Image Quality Metric Based on Visual Quality Saliency. In: Liu, CL., Zhang, C., Wang, L. (eds) Pattern Recognition. CCPR 2012. Communications in Computer and Information Science, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33506-8_56
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DOI: https://doi.org/10.1007/978-3-642-33506-8_56
Publisher Name: Springer, Berlin, Heidelberg
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