Improvement of dark channel and Retinex theory based defogging algorithm and FPGA implementation

Liguo Zhang; Binghao Song; Mei Jin

doi:10.1117/12.3033810

13 June 2024 Improvement of dark channel and Retinex theory based defogging algorithm and FPGA implementation

Liguo Zhang, Binghao Song, Mei Jin

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131803M (2024) https://doi.org/10.1117/12.3033810
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

The dark channel prior (DCP) is a classic algorithm in the field of image defogging, but there are problems such as halo effect, color distortion, and poor handling of sky regions. To address these problems, an image defogging algorithm is proposed to improve the dark channel prior and Retinex theory strategic fusion. The algorithm consists of labeling the sky region of the image, completing the initial estimation of the propagation function using the dark-channel prior, and then estimating the final propagation function according to the Retinex theory, and performing the image de-fogging after fusion. The paper at the same time on the above image defogging algorithm for FPGA acceleration implementation, the experimental results show that the algorithm in the xc7a200tfbg484-2 model FPGA platform to process a frame 1200x800 size color image only takes 8.24ms. constructed defogging system to meet the effect of the defogging at the same time, but also to meet the real-time requirements of the defogging. The algorithm of the paper after the de-fogging of the detail level, contrast, saturation and other aspects of the effective enhancement, compared with the dark channel de-fogging algorithm of the global contrast and saturation enhancement ratio average value of 0.229 and 0.484, compared with other de-fogging algorithms in this field has obvious advantages.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liguo Zhang, Binghao Song, and Mei Jin "Improvement of dark channel and Retinex theory based defogging algorithm and FPGA implementation", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131803M (13 June 2024); https://doi.org/10.1117/12.3033810

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KEYWORDS

Image processing

Field programmable gate arrays

Image enhancement

Image fusion

Algorithms

Atmospheric propagation

Image filtering

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