基于TVAL3的菲涅尔孔径编码无透镜成像

Fresnel aperture-encoded lensless imaging based on TVAL3

基于菲涅尔孔径编码的无透镜成像原理,可以构建低成本、轻量级的非相干光成像系统并应用于多种场景。然而由于重建图像中孪生像和原始像在梯度域稀疏性的差异,基于两步迭代收缩阈值算法的菲涅尔孔径编码无透镜成像仍然存在成像质量不高等问题。为提高成像质量,文章提出利用基于全变分正则化的增广拉格朗日函数法和交替方向法实现菲涅尔孔径编码无透镜成像重构。实验结果表明,与两步迭代收缩阈值算法相比,文章使用的算法可以提高重构图像的质量,恢复出图像更多的细节。

Using lensless imaging based on Fresnel aperture coding,low-cost and lightweight incoherent optical imaging systems are constructed,which improves the possibility of becoming an everyday application.However,it still suffers from poor image reconstruction quality due to the difference in gradient domain sparsity between the twin image and the original image in the reconstructed imageln order to improve the imaging quality,this paper proposes to use the augmented Lagrangian function method and the alternating direction method based on total variational regularization to realize the reconstruction of Fresnel aperture-coded lensless imaging.The experimental results show that the algorithm we use improves the quality of the reconstructed image and also recovers more sharp details of the image compared to the twostep iterative shrinkage/thresholding algorithm(TwIST).