A New Automatic Exposure Algorithm for Astronomical Image and its FPGA Implementation

Hao Wang; Jian Zhong Cao; Zuo Feng Zhou; Su Yan; A Qi Yan

doi:10.4028/www.scientific.net/AMR.546-547.691

Paper Titles

A Semi-Supervised Sparsity Discriminant Analysis Algorithm for Feature Extraction
p.670

Feature Extraction of Fault Engine Audio Signal Based on Wavelet Packet Transform
p.675

Three-Dimensional Modeling Efficiently Based on the 3DMAX and OPENGL
p.680

The Study of Signal Denoising for Laser Cutting Based on Adaptive Wavelet Denoising
p.686

A New Automatic Exposure Algorithm for Astronomical Image and its FPGA Implementation
p.691

Research on the Zero Drift of Sensor Based on Data Fusion Technology
p.696

The Influence of Frequency Synchronization Error on SAR Imaging and ATI Moving Target Detection
p.702

Application of Novel Subspace Pursuit on Guided Wave Signal Recognition Based on Modified Differential Evolution Algorithm
p.708

The Application of Information Fusion Technology in the Intelligence Structure Safety Monitoring of Tunnel Engineering
p.714

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547A New Automatic Exposure Algorithm for...

A New Automatic Exposure Algorithm for Astronomical Image and its FPGA Implementation

Abstract:

Automatic exposure control is the process of controlling the exposure time of the digital imaging system to obtain the desired image which can fit the human vision during the imaging process. A new automatic exposure algorithm for astronomical image is proposed. The pixel value weight is determined by exploring the maximum range of the image histogram. Additionally, the structure of the implementation based on FPGA and experiment results for real data are given. The experiment results show that the proposed algorithm can effectively achieve the real-time automatic exposure control.

You might also be interested in these eBooks

Electrical Insulating Materials and Electrical Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

691-695

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.691

Citation:

Cite this paper

Online since:

July 2012

Authors:

Hao Wang, Jian Zhong Cao, Zuo Feng Zhou, Su Yan, A Qi Yan

Keywords:

Astronomical Image, Automatic Exposure Control, FPGA Implementation, Image Histogram

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Liang Jiayi. High performance digital camera auto exposure algorithm study and implementation. PdD Thesis, Fudan University(2008).

Google Scholar

[2] Xu Peifeng, Li Zhengming and Sun Jun. Study on auto-exposure algorithm based on image analysis. Optical Instruments, 2005, 27(2): 59-61.

Google Scholar

[3] J. A. Stark. Adaptive image contrast enhancement using generalizations of histogram equalization [J]. IEEE Transaction on Image Processing, 2000, 9(5): 889~896.

DOI: 10.1109/83.841534

Google Scholar

[4] S. Shimizu, T. Kondo, T. Kohashiet al. A new algorithm for exposure control based on fuzzy logic for video cameras[J]. IEEE Transactions on Consumer Electronics, 1992, 38(3): 617~623.

DOI: 10.1109/30.156745

Google Scholar

[5] Yang Haitao, Chang Yilin, Wang Jing and Huo Junyan. A new auto-exposure algorithm for video camera using luminance histogram. Acta Optica Sinica, 2007, 27(5): 841-847.

Google Scholar

[6] Xing Zhangying, Mao Yajie and Yang Lihong. Design of auto-exposure based on image entropy. Journal of Changchun university of sciences and technology(Natural science edition), 2009, 32(1): 28-32.

Google Scholar

[7] Min Wuguo. The study of auto-exoposure and auto-gain on CCD imaging electronics system. PhD thesis, Dalian Maritime University( 2010).

Google Scholar