title: [Perceptual sharpness metric for visible and infrared color fusion images].
abstract: For visible and infrared color fusion images, objective sharpness assessment model is proposed to measure the clarity of detail and edge definition of the fusion image. Firstly, the contrast sensitivity functions (CSF) of the human visual system is used to reduce insensitive frequency components under certain viewing conditions. Secondly, perceptual contrast model, which takes human luminance masking effect into account, is proposed based on local band-limited contrast model. Finally, the perceptual contrast is calculated in the region of interest (contains image details and edges) in the fusion image to evaluate image perceptual sharpness. Experimental results show that the proposed perceptual sharpness metrics provides better predictions, which are more closely matched to human perceptual evaluations, than five existing sharpness (blur) metrics for color images. The proposed perceptual sharpness metrics can evaluate the perceptual sharpness for color fusion images effectively.
authors: Ministry of Education Key Laboratory of Photoelectronic Imaging Technology and System, School of Optoelectronics, Beijing Institute of Technology, Beijing 10081, China. gaoshaoshu@yahoo.cn
authors: Shao-Shu
authors: SS
authors: Gao
authors: Wei-Qi
authors: WQ
authors: Jin
authors: Xia
authors: X
authors: Wang
authors: Ling-Xue
authors: LX
authors: Wang
authors: Yuan
authors: Y
authors: Luo
mesh_terms: D000465:Algorithms; D003116:Color; D015350:Contrast Sensitivity; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007259:Infrared Rays; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods; D010781:Photography / Q000379:methods; D014796:Visual Perception