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基于直方圖分析的航空攝像機自動調光方法研究

申小禾,  劉晶紅,  楚廣生

申小禾, 劉晶紅, 楚廣生. 基于直方圖分析的航空攝像機自動調光方法研究[J]. 電子與信息學報, 2016, 38(3): 541-548. doi: 10.11999/JEIT150530
引用本文: 申小禾, 劉晶紅, 楚廣生. 基于直方圖分析的航空攝像機自動調光方法研究[J]. 電子與信息學報, 2016, 38(3): 541-548. doi: 10.11999/JEIT150530
SHEN Xiaohe, LIU Jinghong, CHU Guangsheng. Auto Exposure Algorithm for Aerial Camera Based on Histogram Statistics Method[J]. Journal of Electronics & Information Technology, 2016, 38(3): 541-548. doi: 10.11999/JEIT150530
Citation: SHEN Xiaohe, LIU Jinghong, CHU Guangsheng. Auto Exposure Algorithm for Aerial Camera Based on Histogram Statistics Method[J]. Journal of Electronics & Information Technology, 2016, 38(3): 541-548. doi: 10.11999/JEIT150530

基于直方圖分析的航空攝像機自動調光方法研究

doi: 10.11999/JEIT150530 cstr: 32379.14.JEIT150530
  • 2.

    (中國科學院長春光學精密機械與物理研究所 長春 130033) ②(中國科學院大學 北京 100049)

基金項目: 

國家863高科技研究發(fā)展計劃(2008AA121803)，中國科學院航空光學成像與測量重點實驗室基金(2012MS06)

Auto Exposure Algorithm for Aerial Camera Based on Histogram Statistics Method

  • 2.

    (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China)

Funds: 

The National 863 Program of China (2008AA121803), Funds of Key Laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences (2012MS06)

  • 摘要: 航空攝像機在空中對地面進行拍攝，拍攝場景復雜，傳統(tǒng)的灰度平均值法在一些如有干擾點或背景與目標灰度差別大的場景下曝光會不正確，丟失圖像信息，為了解決這些問題，該文在根據(jù)圖像灰度信息的調光算法以及硬件實現(xiàn)方面進行了相關研究。首先根據(jù)當前幀圖像的灰度直方圖中灰度級為0和255附近的信息進行初調；然后根據(jù)圖像直方圖及其卷積和，搜索其中的峰值區(qū)域并確定圖像的不感興趣區(qū)域(包含的灰度級單一，信息量少的區(qū)域)；接著根據(jù)這些區(qū)域占整幅圖像的比重，由權值分配曲線為其分配不同的權值；最后計算加權后的灰度平均值，并將其作為反饋量控制下一幀的調光。實驗結果表明，在普通場景下能夠準確曝光，在暗背景和亮背景場景下，相比傳統(tǒng)方法使圖像感興趣區(qū)域信息熵提高10%以上。此方法能適用于多種場景，滿足航空攝像機對復雜場景自動調光的需求。
    Abstract: The aerial camera takes photographs from sky. Conventional auto exposure algorithms can not be suitable for some special scenes such as the background is bright or dark and few strong interference points exist. Unsuitable exposure causes information losing in images. In order to solve this problem, an algorithm based on gray value is proposed. Firstly, it regulates the exposure preliminarily using the information of the histogram near 0 and 255. Then it obtains the regions of no interest in the image through the convolution of the histogram and weighted different proportion for the regions according to their area in the entire image. Finally, the weighted average is computed, which is regarded as the feedback controlling exposure. Experimental results indicate that image entropy of regions of interest increased more than 10% in dark or bright background. This method is suitable for many scenes, and meets the demands of the aerial camera.
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出版歷程
  • 收稿日期:  2015-05-06
  • 修回日期:  2015-12-02
  • 刊出日期:  2016-03-19

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