The minimalist optical system has a simple structure, small size, and lightweight, but the low
optical complexity will produce optical aberration. Addressing the significant aberration …

We propose and demonstrate a single-pixel imaging method based on deep learning
network enhanced singular value decomposition. The theoretical framework and the …

Computational optical imaging (COI) systems have enabled the acquisition of high-
dimensional signals through optical coding elements (OCEs). OCEs encode the high …

Human-image analysis is an important task for visual systems ranging from behavior
recognition to criminal investigations. Such analysis, eg, gait recognition, typically needs …

Deep-Iearning (DL)-based image deconvolution (ID) has exhibited remarkable recovery
performance, surpassing traditional linear methods. However, unlike traditional ID …

Compressive spectral imaging has emerged as a sensing tool where three-dimensional
(3D) data can be obtained using two-dimensional (2D) projection measurements. The 3D …

The electro-optical imaging system works under focus conditions for clear imaging.
However, under unexpected laser irradiation, the focused light with extremely high intensity …

Designing the physical encoder is crucial for accurate image reconstruction in computational
imaging (CI) systems. Currently, these systems are designed via end-to-end (E2E) …

In surveillance camera systems and other human-image analysis systems, it is important to
measure human shapes with high resolution. However, the spatial resolution and image …

Design of the camera and optical measurement is a crucial part of optimizing machine vision
systems. However, camera designs are usually optimized to produce human interpretable …