Compared to traditional polarization imaging methods such as time sharing, amplitude sharing, and aperture sharing, the Division of Focal Plane Polarimeter (DOFP) polarization imaging method has obvious advantages such as simultaneous imaging, compact optical and mechanical structure, small size, low power consumption, and high reliability. Therefore, this technology is currently a research hotspot in the field of polarization imaging. However, the focal plane polarization imaging technology uses a Micro Polarization Array (MPA) detector, which only captures a single polarization direction for a pixel, resulting in reduced spatial resolution of polarization images. In order to improve spatial resolution and the impact of factors such as unit mismatch in traditional interpolation methods on the detection system, this paper proposes a polarization image interpolation method based on depth residual convolution neural network. This algorithm closely combines the periodic phase characteristics of focal plane polarized images, designs a matched phase convolution kernel for feature extraction based on the pattern periodicity of four channel polarized image blocks, and designs a demosaic image interpolation method based on generating confrontation networks and phase convolution. Experimental results show that this algorithm can effectively reconstruct full resolution polarized images and is superior to traditional methods in terms of vision and Grayscale Mean Gradient (G).
Through in-depth research on various noise sources and characteristics of the full link of the CCD camera system, a mathematical model of the CCD camera system noise was established, and the mathematical model of the noise was simulated and analyzed using MATLAB digital simulation software. At the same time, indoor noise testing of the CCD camera was conducted, and the simulation results were basically consistent with the measured results, verifying the correctness of the noise mathematical model. These research conclusions lay a reliable theoretical foundation for the subsequent search for accurate CCD noise suppression methods.
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