Prof. Laixian Zhang Profile

Prof. Laixian Zhang

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Proceedings Article | 30 April 2024 Paper

Laser active imaging deblurring technique based on random coding

Xiaoyu Zhang, Laixian Zhang, Yingchun Li

Proceedings Volume 13153, 131530K (2024) https://doi.org/10.1117/12.3015906

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Aiming at the problem of moving targets by the laser active imaging system, a laser active imaging technology based on random coding is proposed. The laser pulse coding is used to replace the shuttle coding exposure, combining the random coding exposure imaging technique with the active range-gated laser imaging technique. In the coded exposure mode, when imaging a moving target, the pulsed laser and ICCD image intensifier are synchronously gated based on FPGA, to obtain the encoded exposure image. And the blurred images are recovered based on LO regularization, which improves the laser active imaging quality. According to the laser active imaging theory, the image signal-to-noise ratio in pulse code modulation mode is analyzed, which shows that the pulse random coding technology can effectively improve the brightness of the imaging image, improve the image signal-to-noise ratio, and have a certain inhibitory effect on motion blur. The blurred image restoration effect under the 31-bit coding length was simulated and analyzed, and the imaging effect and applicability conditions of the typical parameter laser imaging system on moving targets under the coding pulse system were analyzed. Compared with other deblurring methods, under the condition of pulse coding accuracy of 5ns, the 31-bit coding length can achieve better blurred image restoration for the target of relative speed of 10m/s.

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