The Optimization and Design of the Auto-Exposure Algorithm Based on Image Entropy

被引:0
|
作者
Ning, Jingyi [1 ]
Lu, Tiejun [1 ]
Liu, Liyan [1 ]
Guo, Liye [1 ]
Jin, Xiaofeng [1 ]
机构
[1] Beijing Microelect Tech Inst, 2 Siyingmen N Rd, Beijing 100076, Peoples R China
关键词
auto-exposure; image-entropy; exposure time; algorithm optimization; hardware realization;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1020 / 1025
页数:6
相关论文
共 50 条
  • [1] The Optimization and Implementation of the Auto-Exposure Algorithm Based on Image Entropy
    Ning, Jingyi
    Lu, Tiejun
    Liu, Liyan
    Guo, Liye
    Jin, Xiaofeng
    [J]. EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2016), 2016, 10033
  • [2] Video observation system for launch vehicle based on compound auto-exposure algorithm
    Piao, Yong-Jie
    Xu, Wei
    Wang, Shao-Ju
    [J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2013, 21 (SUPPL): : 152 - 158
  • [3] Auto-Exposure Fusion for Single-Image Shadow Removal
    Fu, Lan
    Zhou, Changqing
    Guo, Qing
    Juefei-Xu, Felix
    Yu, Hongkai
    Feng, Wei
    Liu, Yang
    Wang, Song
    [J]. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 10566 - 10575
  • [4] An auto-exposure algorithm for detecting high contrast lighting conditions
    Liang, Jiayi
    Qin, Yajie
    Hong, ZhiLiang
    [J]. ASICON 2007: 2007 7TH INTERNATIONAL CONFERENCE ON ASIC, VOLS 1 AND 2, PROCEEDINGS, 2007, : 725 - 728
  • [5] Auto-Exposure Algorithm for Enhanced Mobile Robot Localization in Challenging Light Conditions
    Begin, Marc-Andre
    Hunter, Ian
    [J]. SENSORS, 2022, 22 (03)
  • [6] STATIONARY VIDEO CAMERA AUTO-EXPOSURE CONDITIONING
    Samadani, Ramin
    Tan, Wai-Tian
    [J]. 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 3453 - 3456
  • [7] Using image entropy maximum for auto exposure
    Rahman, Mohammad T.
    Kehtarnavaz, Nasser
    Razlighi, Qolamreza R.
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2011, 20 (01)
  • [8] Research on the Auto-Exposure Method of an Aerial TDI Camera Based on Scene Prediction
    Huang, Jingtao
    Liu, Jiwei
    Wang, Xiaodong
    Jiang, Xu
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (22):
  • [9] ISAR Autofocus Based on Image Entropy Optimization Algorithm
    Qiang Wen
    Niu Wei
    Du Kai
    Wang Xiang-dong
    Yang Yong-an
    Du Wei-bing
    [J]. 2015 IEEE ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2015, : 1128 - 1131
  • [10] Robust Depth Estimation Using Auto-Exposure Bracketing
    Im, Sunghoon
    Jeon, Hae-Gon
    Kweon, In So
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 28 (05) : 2451 - 2464