Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1582-1586

Turbulence-degraded image restoration algorithm based on twice bi-dimensional empirical mode decomposition denoising

Xu Bin1a,1b
Ge Baozhen1a,1b
Lyu Qieni1a,1b
Chen Lei2
1. a. School of Precision Instruments & Opto-Electronics Engineering, b. Key Laboratory of Opto-Electronics Information & Technical Science of Ministry of Education, Tianjin University, Tianjin 300072, China
2. School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0910

Abstract

In order to achieve high-quality imaging in atmospheric turbulent environment, this paper proposed a turbulence-degraded image restoration algorithm based on twice bi-dimensional empirical mode decomposition denoising, by combining adaptive optical wavefront detection with digital image processing technology. By using the Hartmann-Shack wavefront sensor to detect the wavefront information in the optical system, it could calculate the optical system point spread function. And then, it used the improved twice bi-dimensional empirical mode decomposition algorithm to achieve image denoising. Finally, it used the R-L algorithm to recover the turbulence-degraded image. It set up an optical experiment system to recover the actual turbulence-degraded image. The results show that the proposed algorithm can effectively attenuate the noise amplification phenomenon and obtain a more stable high-quality atmospheric turbulence-degraded image restoration result.

Foundation Support

国家自然科学基金重点资助项目(61535008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0910
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1582-1586
Serial Number: 1001-3695(2020)05-063-1582-05

Publish History

[2020-05-05] Printed Article

Cite This Article

徐斌, 葛宝臻, 吕且妮, 等. 基于二次二维经验模态分解去噪的湍流退化图像复原算法 [J]. 计算机应用研究, 2020, 37 (5): 1582-1586. (Xu Bin, Ge Baozhen, Lyu Qieni, et al. Turbulence-degraded image restoration algorithm based on twice bi-dimensional empirical mode decomposition denoising [J]. Application Research of Computers, 2020, 37 (5): 1582-1586. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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