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6 November 2023 Research on image de-fogging algorithm for rocket recovery
Rong Lu, Lijuan Sun, Jianzhong Cao, Wei-ning Chen, Haifeng Zhang, Gaopeng Zhang
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Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292154 (2023) https://doi.org/10.1117/12.2692018
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
In the rocket recovery environment, the imaging conditions are complicated, and the vision equipment is prone to problems such as ground target information loss, image contrast and saturation reduction, color deviation and so on, which directly affect the solution of the rocket pose. Therefore, it is necessary to study the de-fog algorithm for the special environment of rocket recovery, so as to contribute to the solution of rocket pose and altitude measurement. Through the investigation of previous research on de-fogging algorithms, it can be found that the dark channel de-fogging algorithm is not only simple in principle but also has better de-fogging effect in changeable environment. In addition, the brightness of fog in rocket recovery is often affected by the flame emitted from the nozzle, and a single dark channel de-fogging algorithm cannot adjust the overall brightness according to the environmental characteristics, resulting in blurred feature points in the image after de-fogging. Therefore, considering that RETINEX theory can be used to adjust the brightness of images, in combination with the dark channel prior model, this paper mainly uses RETINEX theory to improve the dark channel de-fogging theory to process the transmission t(x), so that the final image retains the feature information to the maximum extent, and improves the adaptability of the dark channel de-fogging algorithm to different fog environments. Finally, the removal effect of different de-fogging algorithms on different concentrations of fog in rocket recovery environment is quantitatively analyzed. The experimental results show that the de-fogging algorithm in this paper can solve the impact of the fog generated by the rocket nozzle on the vision equipment.
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Rong Lu, Lijuan Sun, Jianzhong Cao, Wei-ning Chen, Haifeng Zhang, and Gaopeng Zhang "Research on image de-fogging algorithm for rocket recovery", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292154 (6 November 2023); https://doi.org/10.1117/12.2692018
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KEYWORDS
Image processing
Rockets
Fiber optic gyroscopes
Image restoration
Image transmission
Signal to noise ratio
Detection and tracking algorithms
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