Perceptual Sharpness Metric for Visible and Infrared Color Fusion Images
GAO Shao-shu, JIN Wei-qi*, WANG Xia, WANG Ling-xue, LUO Yuan
Ministry of Education Key Laboratory of Photoelectronic Imaging Technology and System, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
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.
Key words：Color fusion;Sharpness metric;Perceptual contrast;Human visual system
高绍姝，金伟其*，王 霞，王岭雪，骆 媛 . 可见光与红外彩色融合图像感知清晰度评价模型[J]. 光谱学与光谱分析, 2012, 32(12): 3197-3202.
GAO Shao-shu, JIN Wei-qi*, WANG Xia, WANG Ling-xue, LUO Yuan . Perceptual Sharpness Metric for Visible and Infrared Color Fusion Images . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(12): 3197-3202.
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