Color image quality assessment combining saliency and FSIM

Ang Li; Xiaochun She; Qizhi Sun

doi:10.1117/12.2030719

19 July 2013 Color image quality assessment combining saliency and FSIM

Ang Li, Xiaochun She, Qizhi Sun

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88780I (2013) https://doi.org/10.1117/12.2030719
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

Saliency is an important feature of human visual attention. Salient regions of an image immediately attract our attention. Therefore, attention to salient regions is an important attribute to measure image qualities. A novel image quality metric is proposed in this paper, in which salient regions are extracted and the use of FSIM (Feature SIMilarity) in these regions is analyzed for image quality assessment. Experimental results for a set of intuitive examples with different distortion types demonstrate that the improved FSIM can achieve a better performance than the original form.

Citation Download Citation

Ang Li, Xiaochun She, and Qizhi Sun "Color image quality assessment combining saliency and FSIM", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780I (19 July 2013); https://doi.org/10.1117/12.2030719

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