DocumentCode :
3746542
Title :
The optimization and design of the auto-exposure algorithm based on image entropy
Author :
Jingyi Ning;Tiejun Lu;Liyan Liu;Liye Guo;Xiaofeng Jin
Author_Institution :
Beijing Microelectronics Tech. Institute (BMTI) No.2. Siyingmen N. Rd Donggaodi Fengtai District, Beijing, China, 100076
fYear :
2015
Firstpage :
1020
Lastpage :
1025
Abstract :
In order to make the CMOS image sensor exposure automatically and correctly in different environment, this paper presents an improved algorithm based on image entropy. Image entropy is the information measure of image. Thus, with the purpose of getting the most appropriate exposure time, we can search the maximum information entropy. What´s more, by using the formula manipulation of image entropy and the piecewise linearization of the log function, the algorithm grasps the overall change rule and avoids the traditional precise calculation, which can save the computing time greatly and reduce the use of the resource. Meanwhile, simulation results demonstrated the effectiveness of the algorithm, which leaves a strong foundation for the hardware realization of the CMOS image sensor auto-exposure.
Keywords :
"Entropy","Gray-scale","Hardware","Signal processing algorithms","IP networks","CMOS image sensors","Approximation algorithms"
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2015 8th International Congress on
Type :
conf
DOI :
10.1109/CISP.2015.7408029
Filename :
7408029
Link To Document :
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