Cross-iteration deconvolution strategy for differential optical transfer function (dOTF) wavefront sensing

Differential optical transfer function (dOTF) is a promising analytic image-based wavefront sensing approach, which is simple in both hardware implementation and mathematical operation. However, there is one deep-rooted problem inherent in this approach, i.e., the essential trade-off between the signal ratio and resolution due to the effect of convolution. In this Letter, a cross-iteration deconvolution strategy is proposed to solve this problem with two different dOTFs, based on the understanding of an underlying prior knowledge when pupil blockage is used to introduce pupil modification. This Letter contributes to the development of a deterministic, efficient, and precise image-based wavefront sensing technique.