CSV: Image quality assessment based on color, structure, and visual system
作者：
Highlights：
• CSV is an image quality estimator based on color, structure, and visual system.
• Contrast sensitivity model of retinal ganglion cells is used in quality estimation.
• Suppression mechanism model of cortical neurons is used in quality estimation.
• Perceptual differences between color names are used in quality estimation.
• The proposed hybrid perceptual model outperforms isolated perceptual models.
摘要
Highlights•CSV is an image quality estimator based on color, structure, and visual system.•Contrast sensitivity model of retinal ganglion cells is used in quality estimation.•Suppression mechanism model of cortical neurons is used in quality estimation.•Perceptual differences between color names are used in quality estimation.•The proposed hybrid perceptual model outperforms isolated perceptual models.
论文关键词：Full-reference image quality assessment,Color difference equation,Color name,Retinal ganglion cell,Suppression mechanism,Color perception
论文评审过程：Received 10 February 2016, Revised 31 August 2016, Accepted 31 August 2016, Available online 2 September 2016, Version of Record 6 October 2016.
论文官网地址：https://doi.org/10.1016/j.image.2016.08.008
