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基于灰度图像的曝光量估计方法
引用本文:赵芳,栾晓明,孙越. 基于灰度图像的曝光量估计方法[J]. 应用科技, 2009, 36(8): 32-34. DOI: 10.3969/j.issn.1009-671X.2009.08.009
作者姓名:赵芳  栾晓明  孙越
作者单位:哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨,150001
摘    要:针对宽范围光照场景下成像系统存在的曝光不足或曝光过度的问题,以灰度图像的灰度直方图为基础,计算平均灰度,依据峰值灰度和灰度图像两侧是否存在零像素区域,估计图像曝光量效果是否恰当.研究了图像灰度直方图的灰度分布与曝光效果的关系,应用估计方法给出了曝光系列图像的实验结果.实验结果表明,此算法能够计算估计出图像的曝光效果,无需数据库支撑,复杂度低,易于实现.

关 键 词:自动曝光  比例  平均灰度  峰值灰度  灰度图像

Gray image-based exposure estimation method
ZHAO Fang,LUAN Xiao-ming,SUN Yue. Gray image-based exposure estimation method[J]. Applied Science and Technology, 2009, 36(8): 32-34. DOI: 10.3969/j.issn.1009-671X.2009.08.009
Authors:ZHAO Fang  LUAN Xiao-ming  SUN Yue
Affiliation:(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract:Aiming at the inadequate or excessive exposure problem existed in the imaging system in the wide-range lighting scene, this paper presents a gray image-based exposure estimation method. On the basis of gray image histogram, this method calculates the average gray, estimates if the effect of exposure is correct by judging the peak gray and if there's zero pixel region on both sides of the gray image. The relation between gray image distribution and exposure effect in the gray image histogram is researched, and the experimental results of exposure images are given by the estimation method, showing that this algorithm can calculate the exposure effect without the support of database, and it has low eomolexitv and is easy to implement.
Keywords:auto exposure  proportion  average gray  peak gray  gray image
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