Research on Auto-Exposure Algorithm Based on Image Big Data and Information Entropy
Abstract
An Auto-Exposure (AE) algorithm based on image big data and information entropy is proposed. On the basis of the traditional algorithm for automatic exposure adjustment based on image brightness, image big data analysis is introduced for the first time. Through the combination of ambient luminance evaluation and image information entropy, the dimension of information acquisition of the automatic exposure system is improved, thus improving the image effect and scene adaptability of the camera. Especially in high dynamic range scenes, compared with the traditional algorithm, the effect is significantly improved.
Keywords
Full Text:
PDFReferences
Murakami M, Honda N. An Exposure Control System of Video Cameras Based on Fuzzy Logic Using Color Information [J]. Journal of Japan Society for Fuzzy Theory and Systems, 1996,8 (6):1154-1159. DOI:10.3156/jfuzzy.8.6_172.
Jiayi Liang, Zhiliang Hong. Auto-Exposure Control Algorithm for Large Dynamic Range Scenes [J]. Optoelectronic Engineering, 2008, 35 (5). DOI:10.3969/j.issn.1003-501X.2008.05.018
Rahman M T, Kehtarnavaz N, Razlighi Q R. Using image entropy maximum for auto exposure [J]. Journal of Electronic Imaging, 2011, 20(1):013007.
DOI:10.1117/1.3534855
Yan Chen. Application of Big Data Technology in Image Processing [J]. Electronic Technology and Software Engineering, 2018.
http://kns.cnki.net/kcms/detail/10.1108.TP.20180307.1144.254.html
Qun Ren. Image Processing Technology Based on Information Entropy [J]. Journal of Daqing Normal University, 2017 (3).
DOI: 10.13356/j.cnki.jdnu.2095-0063.2017.03.007.
Peiran Li. Research on 3D Reconstruction Based on Video [D].
DOI:CNKI: CDMD: 2.1016.779552
Tianqiang Huang, Tiehao Wu, Hua Zhuo, et al. Method and Device for Detecting Video Frame Insertion Tampering Based on Light Intensity Information [J].
DOI:10.3969/j.issn.1000-3428.2014.07.049
Zepeng Wu, Lingling Guo, Mingchao Zhu, et al. Image Registration Method Combining Image Information Entropy and Feature Points [J]. Infrared and Laser Engineering, 2013 (10).
DOI: http://dx.doi.org/10.26549/met.v3i2.2216
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.