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基于压缩感知(CS,compressive sensing)理论,针对水下复杂的光学成像环境,结合水下距离选通技术、水下激光照明技术和CS单像素相机提出了一种新的水下成像方法。设计了水下CS单像素相机系统的框架结构,构建了相应的采样矩阵和重构算法等软件计算平台。通过理论分析计算,比较了本文方法和水下距离选通成像方法在成像距离和分辨率两方面的性能;通过模拟实验,在成像质量和采样数量方面对本文方法和现有水下成像技术进行比较。理论分析计算和模拟实验结果表明,本文方法在提高采样效率的同时大幅增加成像距离并改善成像质量,有效解决现有水下成像方法存在的问题。
Based on compressive sensing (CS) theory, a new submarine imaging method is proposed for underwater optical imaging environments with underwater gating technique, underwater laser illumination and CS single-pixel camera. The frame structure of submarine CS single-pixel camera system is designed, and the software computing platform such as sampling matrix and reconstruction algorithm is constructed. Through the theoretical analysis and calculation, the performance of the proposed method and the underwater gated tomography method in imaging distance and resolution are compared. The simulation results show that this method and the existing underwater imaging technology are effective in imaging quality and sampling quantity Compare Theoretical analysis and simulation results show that the proposed method can greatly increase the imaging distance and improve the imaging quality while improving the sampling efficiency and effectively solving the existing problems of the underwater imaging method.