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The research of underwater imaging based on the wavefront coding system

机译:基于波前编码系统的水下成像研究

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摘要

Current research on the underwater imaging often needs particular techniques. Since the specificity of the underwater imaging system, it must overcome the impact of the turbulent and turbid of the water. In this paper we present a new application of the wavefront coding (WFC) system in the underwater imaging. Wavefront coding system is a two-step imaging system, by using a cubic phase mask with optimized parameters; we get the defocus-insensitive intermediate image in the imaging plane. Then the final sharp image can be obtained by deconvoluted the intermediate image with the point spread function (PSF). Initially the wavefront coding system is introduced to extent the depth of the field of the optical system and the allowance of the system can be great improved by using the optimized cubic phase mask. Because of the defocus-insensitive property, this system can eliminate the aberration brought by the turbulent of the water. The deconvolution can improve the imaging quality by deblurring intermediate image and reduce the impact brought by the turbid of the water. In order to get excellent result, we propose to use the global generalized minimal residual method as the deconvolution algorithm. Antireflective boundary conditions (BCs) are considered to eliminate ringing effect, and Kronecker product approximation is introduced to reduce the computation consumption.This method can give excellent deconvolution result. There is little ringing effect on the image border and little vibration on the edge. Theory analysis and the experiment show that this is an effective system in the underwater imaging. It is an economical system.
机译:当前关于水下成像的研究通常需要特定的技术。由于水下成像系统的特殊性,它必须克服水的湍流和浑浊的影响。在本文中,我们介绍了波前编码(WFC)系统在水下成像中的新应用。波前编码系统是一个两步成像系统,它使用具有优化参数的立方相位掩模;我们在成像平面中获得了对散焦不敏感的中间图像。然后,可以通过使用点扩展函数(PSF)对中间图像进行反卷积来获得最终的清晰图像。最初,引入波前编码系统以扩展光学系统的景深,并且通过使用优化的立方相位掩模可以大大提高系统的容限。由于对散焦不敏感,该系统可以消除水湍流带来的像差。去卷积可以通过对中间图像进行去模糊来提高成像质量,并减少水的浑浊带来的影响。为了获得优异的结果,我们建议使用全局广义最小残差方法作为反卷积算法。考虑使用抗反射边界条件(BCs)消除振铃效应,并引入Kronecker乘积近似来减少计算量。 这种方法可以提供出色的反卷积结果。图像边框上的振铃效果很小,边缘上的振动很小。理论分析和实验表明,这是一种有效的水下成像系统。这是一个经济的系统。

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