Visualization of High Dynamic Range Image based on Intersecting Cortical Model

In this paper,we propose an algorithm based on intersecting cortical model（ICM） to visualize the high dynamic range images（HDRI） on low dynamic range device.Our algorithm focuses on human visual characteristics and the combination of both global lightness and local detail.Based on linear heat flow theory（LHF）,the centripetal autowave（CA） is used to form the LHF-CA-ICM.It solves the interference from ICM’s autowave effect,which could blur the edge and detail.During the iterations of LHF-CA-ICM,we propose an S-shaped function as the adaptive tone mapping operator（TMO）.Black and white point correction and nonlinear color restoration in RGB color space are conducted for better display performance.Experimental results show that HDRIs obtain good visualization with much more realistic detail and color,and the halo artifact is reduced.