Computational methods have been established as cornerstones in optical imaging and
holography in recent years. Every year, the dependence of optical imaging and holography on …

In this paper, we consider computational super-resolution inverse diffraction phase retrieval.
The optical setup is lensless, with a spatial light modulator for aperture phase coding. The …

The race for miniature color cameras using flat meta-optics has rapidly developed the end-to-end
design framework using neural networks. Although a large body of work has shown the …

A novel algorithm for reconstruction of hyperspectral 3D complex domain images (phase/amplitude)
from noisy complex domain observations has been developed and studied. This …

In this paper, we have applied a recently developed complex-domain hyperspectral
denoiser for the object recognition task, which is performed by the correlation analysis of …

Surface relief gratings and refractive index gratings are formed by direct holographic recording
in amorphous chalcogenide nanomultilayer structures As 2 S 3 − Se and thin films As 2 S …

End-to-end optimization of diffractive optical elements (DOEs) profile through a digital
differentiable model combined with computational imaging have gained an increasing attention in …

This paper addresses the challenge of regularization in lensless single-shot phase retrieval
(PR) by noise suppression. Due to the unique aspects of the PR algorithm, the noise is …

In this paper, we propose an approach that combines wavefront encoding and convolutional
neuronal network (CNN)-based decoding for quantitative phase imaging (QPI). Encoding is …

We propose a novel approach for lensless single-shot phase retrieval, which provides pixel
super-resolution phase imaging. The approach is based on a computational separation of …