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Wavefront Reconstruction for Image Restoration Based on Generalized Ridge Estimation

机译：基于广义岭估计的波前重建图像复原

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In order to enhance the performance of adaptive optics image restoration, a novel wavefront reconstruction algorithm was presented that was based on generalized ridge estimation. In the view of adaptive optics image post-processed restoration, real time and fast computation are not the basic request of wavefront reconstruction, but the high-precision. On the consideration of sacrifice time for precision, it brought the idea of generalized ridge estimation (GRE) into wavefront-reconstruction algorithm, to improve the singularity of least square (LS) and restrain the enlarger of wavefront measure-error. Then, the iterative solution method was brought into wavefront-reconstruction for improving the solution of singular equation and the precision of reconstructed-PSF ( point spread function ). Finally, the blurred-image restoration experiment was implemented to verify the precision of reconstructed-PSF. The experiment proved that the novel algorithm which restored PSF had performed well in image restoration, and the image restoration effect of GRE-Reconstructed-PSF was 15% better than those of LS-Reconstructed-PSF.
机译：为了提高自适应光学图像恢复的性能，提出了一种基于广义脊线估计的波前重建算法。从自适应光学图像的后处理恢复来看，实时和快速计算不是波前重建的基本要求，而是高精度。在考虑牺牲精度的前提下，将广义岭估计（GRE）的思想引入波阵面重构算法中，以提高最小二乘（LS）的奇异性并抑制波阵面测量误差的扩大。然后，将迭代解法引入波前重构中，以提高奇异方程的解和重构后的PSF（点扩展函数）的精度。最后，通过模糊图像复原实验验证了重建PSF的精度。实验证明，该算法能够较好地恢复图像，并且与LS-PSF相比，GRE-Reconstructed-PSF的图像恢复效果提高了15％。

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