Off-axis digital holographic decarrier phase recovery algorithm combined with linear regression

Benefitting from the high measurement efficiency, off-axis digital holography (DH) has become a most powerful DH technique for fast and high-accuracy measurement. Owing to carrier frequency, real image can be isolated easily in Fourier spectrum of one hologram, so that transform algorithm (FTA) is widely used realize phase retrieval. In FTA, important tasks figure out accurate peak position then shift center remove carrier. However, owing digitalization always not located at an integral pixel practical applications, resulting residuals, thereby lowering retrieval quality. Much work on accurately determining been conducted suppress such as by using centroid method zero padding. those estimation algorithms achieve only satisfied accuracy some situations. Then, spatial (SCPS) utilized expand utilization space-bandwidth avoid leakage caused band-pass filtering. The SCPS decomposes hologram into several sub-holograms, which induces shifts between sub-holograms. Many on-axis are combined with retrieve hologram. retrieved usually composed sample carrier, information also required obtain correct reconstructed phase. this paper, removal single linear regression proposed simultaneous removal. method, four phase-shifted sub-holograms extracted first SCPS. Since linearly proportional least-square simultaneously. Both simulation experimental results show determine without We believe applied