Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3490-3495

Underwater image enhancement networks incorporating self-calibrated illumination frame

Jiang Liubinga,b
Mou Yujieb,c
Che Lia,b
Wu Yongmanb,c
a. School of Information & Communication, b. Guangxi Key Laboratory of Wireless Broadband Communication & Signal Processing, c. School of Computer & Information Security, Guilin University of Electronic Technology, Guilin Guangxi 514000, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0124

Abstract

Underwater image quality degradation has seriously hindered the development of marine engineering technology. Aiming at the problems of underwater image color distortion, low contrast and uneven brightness, in order to solve the special underwater imaging environment cause the above degradation problems, and facilitate the subsequent research work based on underwater images, this paper proposed an underwater image enhancement network model based on self-calibrated illumination framework. The network model integrated self-calibrated illumination module on the basis of convolutional neural network, which could brighten images quickly and flexibly. The method established a cascaded lighting learning process with weight sharing in the self-calibrated illumination module to process underwater images. Considering the computational burden of cascaded pattern, the method also constructed a self-calibrated module to realize the convergence of the results of each stage. This self-calibrated module reduced the computational cost greatly and realized the automatic adjustment of underwater image brightness. Finally, this paper analyzed the experimental results qualitatively and quantitatively, and compared eight advanced enhancement algorithms. The results show that the proposed method is obviously superior to other compared algorithms. The results of the proposed method improve the contrast, correct the color, improve the uneven brightness, and enhance the visual effect. The qualitative and quantitative analysis results show the effectiveness of the proposed method.

Foundation Support

国家自然科学基金资助项目(61561010)
广西创新驱动发展专项资助项目(桂科AA21077008)
广西无线宽带通信与信号处理重点实验室2022年主任基金资助项目(GXKL06220102,GXKL06220108)
八桂学者专项经费资助项目(2019A51)
桂林电子科技大学研究生教育创新计划资助项目(2022YXW07)
桂林电子科技大学研究生教育创新计划资助项目(2022YCXS080)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0124
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Technology of Graphic & Image
Pages: 3490-3495
Serial Number: 1001-3695(2023)11-045-3490-06

Publish History

[2023-06-01] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

蒋留兵, 牟玉洁, 车俐, 等. 融合自校准照明框架的水下图像增强网络 [J]. 计算机应用研究, 2023, 40 (11): 3490-3495. (Jiang Liubing, Mou Yujie, Che Li, et al. Underwater image enhancement networks incorporating self-calibrated illumination frame [J]. Application Research of Computers, 2023, 40 (11): 3490-3495. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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