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Exposure Evaluation Method Based on Histogram Statistics

机译:基于直方图统计的曝光评估方法

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摘要

Aiming at the inadequate or excessive exposure problem existed in the imaging system in a scene where there is no specific background or foreground, this paper presents a histogram-based exposure evaluation method. With analysis of statistics features of histograms in different exposure type images, the third moment about middle gray is used to evaluate the exposure effect. For color images, the histogram is calculated only in the component which holds the largest mean brightness considering of efficiency. Experimental result shows that the proposed method can evaluate the exposure effect without the support of database, and it has low complexity and is easy to implement.
机译:旨在在没有特定背景或前景的场景中的成像系统中存在不足或过度的曝光问题,本文提出了一种基于直方图的曝光评估方法。 随着不同曝光型图像中直方图的统计特征的分析,关于中灰度的第三时刻用于评估曝光效果。 对于彩色图像,直方图仅在占据效率的最大平均亮度的组件中计算。 实验结果表明,该方法可以在不支持数据库的支持下评估曝光效果,并且它具有较低的复杂性并且易于实施。

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