Paper
27 June 2022 Image haze removal and computer-generated holographic display method in coal mine
Taihui Wu, Xiaohui Yang, Jiacheng Li, Huibin Zhao, Xishuo Zhu, Honglei Wang
Author Affiliations +
Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122531U (2022) https://doi.org/10.1117/12.2639397
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China
Abstract
This paper presents a method of haze removal and computer-generated holographic display of degraded images in coal mine. Firstly, the image enhancement of underground coal mine is realized by using the dark channel prior haze removal algorithm, which greatly weakens the shielding of coal dust and water mist in the roadway environment. Next, using the computer-generated hologram algorithm based on angular spectrum diffraction, the phase only hologram is generated with the haze removal image as the input. The peak signal-to-noise ratio (PSNR) of the reconstructed image of the red channel is 65.47dB, the PSNR of the reconstructed image of the green channel is 64.98dB, the PSNR of the reconstructed image of the blue channel is 65.78dB, and the average PSNR is 65.41dB. The simulation results show that high-quality reconstructed image can be obtained by combining dark channel prior and computer-generated hologram, and the image enhancement of underground coal mine is realized.
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Taihui Wu, Xiaohui Yang, Jiacheng Li, Huibin Zhao, Xishuo Zhu, and Honglei Wang "Image haze removal and computer-generated holographic display method in coal mine", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122531U (27 June 2022); https://doi.org/10.1117/12.2639397
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KEYWORDS
Computer generated holography

Image enhancement

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