An automatic exposure algorithm based on information entropy

Chi Zhang; Zheng You; Shijie Yu

doi:10.1117/12.716772

Abstract

According to the digital imaging of remote sensing camera and informatics theory, information entropy is presented as the automatic exposure criteria for remote sensing camera and its performance is detailedly analyzed. Aiming at the characteristics of gray-level histogram at different exposure time and the relationships between image brightness and information entropy, improved MCS (Mountain Climbing Servo) is proposed to approach the optimal exposure time in short order. The proposed algorithm has been successfully tested to be effective on a subminiature CMOS remote sensing camera system developed by the authors. Experimental results demonstrate that the proposed criteria can adjust the exposure time automatically according to the image information with high speed, sensitivity and reliability. It is of great value for CMOS camera to improve the quality of space imaging.

Citation Download Citation

Chi Zhang, Chi Zhang, Zheng You, Zheng You, Shijie Yu, Shijie Yu, } "An automatic exposure algorithm based on information entropy", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570Q (24 October 2006); doi: 10.1117/12.716772; https://doi.org/10.1117/12.716772

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