Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm

A refractive lens is one of the simplest, most cost-effective and easily available imaging elements. Given a spatially incoherent illumination, can faithfully map every object point to an image in sensor plane, when distances satisfy conditions. However, static limited depth focus, beyond which point-to-point mapping only be obtained by changing either location lens, or sensor. In this study, focus mode has been expanded using recently developed computational reconstruction method, Lucy-Richardson-Rosen algorithm (LRRA). The process consists three steps. first step, spread functions (PSFs) were recorded along different depths stored computer as PSF library. next intensity distribution was recorded. LRRA then applied deconvolve information from distributions during final step. results compared with two well-known methods, namely Lucy-Richardson non-linear reconstruction.