Image dehazing algorithm based on improved dark channel prior and heterogeneous optimization

Yin Zhang; Junbo Wang; Guowei Li; Qi Tang; Shibin Xiong; Wei Jiang

doi:10.1117/12.2689809

10 August 2023 Image dehazing algorithm based on improved dark channel prior and heterogeneous optimization

Yin Zhang, Junbo Wang, Guowei Li, Qi Tang, Shibin Xiong, Wei Jiang

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481U (2023) https://doi.org/10.1117/12.2689809
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

This paper presents an image dehazing algorithm based on the improved dark channel prior and heterogeneous optimization. The improved dark channel prior simplifies the window-based dark channel prior principle to pixel based dark channel prior, and employs heterogeneous acceleration techniques to improve the processing speed. To further optimize the algorithm's performance, we implement the improved dark channel prior dehazing algorithm on CPU, GPU, and FPGA. We compared the processing effects, runtime, and pixel output under unit power consumption of the dark channel prior dehazing methods based on slice bilateral filtering and guided filtering on these different types of processors. The experimental results show that the algorithm proposed in this paper runs faster on GPU and FPGA than on CPU, and also exhibits higher energy efficiency. Moreover, compared to the dark channel prior dehazing methods based on slice bilateral filtering and guided filtering, this algorithm has higher efficiency and lower power consumption while improving the image quality.

Citation Download Citation

Yin Zhang, Junbo Wang, Guowei Li, Qi Tang, Shibin Xiong, and Wei Jiang "Image dehazing algorithm based on improved dark channel prior and heterogeneous optimization", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481U (10 August 2023); https://doi.org/10.1117/12.2689809

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KEYWORDS

Image filtering

Image transmission

Mathematical optimization

Power consumption

Image processing

Reconstruction algorithms

Image quality

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