Wavefront error sensing based on phase diversity technology and image restoration

Abstract

Phase Diversity (PD) is a kind of wavefront sensing technology based on image collecting and restoration. Two images are collected with different defocus values, and the Zernike coefficients of the system wavefront can be solved. This paper focuses on the algorithm of PD technology and image restoration. Several kinds of wavefront aberration and different defocus distance are also introduced to verify the robustness of the algorithm. Results show that the maximum wavefront aberration introduced is 1.5851λ (RMS) when the residual error of calculation required is less than λ/50 (RMS), and the residual error reaches minimum when the Zernike coefficient variation induced by defocus is 1λ. Also, the Structural Similarity (SSIM) is selected to evaluate the quality of restored images.