We investigate the practical behavior of a co-optimized hybrid system involving a generic binary phase mask and digital deconvolution. We perform experiments with a case-study optical system with observed scene lighting by LED of different colors. By imaging a real scene and a depth of field (DoF) target, we show that the DoF reachable in practice matches with good accuracy the one predicted by simulation in case of monochromatic illumination. We also characterize the drop in performance when using this type of system with actual illumination wavelength departing from the nominal one.
We experimentally investigate the performance of co-optimized hybrid optical–digital imaging systems based on binary phase masks and digital deconvolution for extended depth-of-field (DoF) under narrow-band illumination hypothesis. These systems are numerically optimized by assuming a simple generic imaging model. Using images of DoF targets and real scenes, we experimentally demonstrate that in practice, they actually reach the DoF range for which they have been optimized. Moreover, they are shown to be robust against small mask manufacturing errors and residual spherical aberration in the optical system. These results demonstrate that the optical/digital optimization protocol based on generic imaging model can be safely used to design DoF-enhanced imaging systems aimed at real-world applications.