【摘要】 图像增强是夜视图像处理的一种重要方法,而直方图均衡是最经典的图像增强算法之一.但将它直接用于夜视图像处理有如下缺点:(1)丢失原始图像的亮度信息;(2)处理过:程中有灰度合并现象发生.结合夜视图像的特点,提出了一种保持亮度和克服灰度合并的新算法,即采用不同灰度区间分别均衡,并且采用设定最小灰度间隔和最大拉伸系数的均衡函数的方法,从一定程度上克服了上述缺点.更多还原

【Abstract】 Image enhancement is one of the important methods of night vision image processing.The Histogram -Equalization(HE),a typical image enhancement algorithm,when apply it to night vision image processing directly it has following disadvantage:1.Lose the brightness information of original image.2.The grey combination occurs during the processing.Combine with the characteristic of night vision image,this article presents a new algorithm of holding brightness and overcoming grey combination.It means use different grey zone to distinguish equalization, and adopts the equalization function method of setting minimum grey interval and maximum tensile coefficient for overcoming above disadvantages.更多还原