摘要
概述了低照度全景图像增强算法及其相关研究现状,以典型的低照度全景图像增强算法为例,进行了算法仿真实验。从主观和客观指标评价两个方面分别对各类典型算法仿真结果进行了比较分析,总结了各类算法的优缺点。指出在兼顾低照度全景图像亮度提升、图像去噪以及细节增强的同时,提高算法的有效性、实时性与自适应性是未来低照度全景图像增强算法发展方向。
Enhancement algorithms of low light panoramic images and their related research status are summarized,and simulation experiments on some typical low-illumination panoramic image enhancement algorithm are carried out.Simulation results of various typical algorithms are compared and analyzed in terms of subjective and objective index evaluation,and the advantages and disadvantages of these algorithms are drawn out.It comes to that,while taking into account the brightness enhancement,image denoising and detail enhancement of low-light panoramic image,improving the effectiveness,timeliness and adaptability of the algorithm are the development direction of low light panoramic image enhancement algorithm in the future.
作者
王殿伟
韩鹏飞
刘颖
许志杰
覃泳睿
王晶
WANG Dianwei;HAN Pengfei;LIU Ying;XU Zhijie;QIN Yongrui;WANG Jing(School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China;Key Laboratory of Electronic Information Application Technology for Scene Investigation,Ministry of Public Security,Xi'an 710121,China;International Joint Research Center for Wireless Communication and Information Processing,Shannxi,Xi'an 710121,China;Center for Image and Information Processing,Xi'an University of Posts and Telecommunications,Xi'an 710121,China;School of Computing and Engineering,University of Huddersfield,Huddersfield,UK HD1 3DH;Department of Computing,Sheffield Hallam University,Sheffield,UK,S1 1WB)
出处
《西安邮电大学学报》
2018年第5期48-53,共6页
Journal of Xi’an University of Posts and Telecommunications
基金
陕西省自然科学基础研究计划基金项目(2018JM6118)
关键词
低照度
全景成像
全景图像增强
图像增强
low-light
panoramic imaging
panoramic image enhancement
image enhancement
