Modern cameras typically use an array of millions of detector pixels to capture images. By
contrast, single-pixel cameras use a sequence of mask patterns to filter the scene along with …

The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase
unwrapping algorithm for fringe projection techniques, has the ability to eliminate the phase …

Quantum ghost imaging offers many advantages over classical imaging, including the ability
to probe an object with one wavelength and record the image with another, while low photon …

摘要近年来, 光学成像技术已经由传统的强度, 彩色成像发展进入计算光学成像时代.
计算光学成像基于几何光学, 波动光学等理论对场景目标经光学系统成像再到探测器采样这一 …

Demonstrating the practical advantage of quantum computation remains a long-standing
challenge whereas quantum machine learning becomes a promising application that can be …

Object classification generally relies on image acquisition and subsequent analysis. Real-
time classification of fast-moving objects is a challenging task. Here we propose an …

Ghost imaging based on deep learning (DLGI) usually employs a supervised learning
strategy, and needs a large set of labeled data to train a neural network. However, in many …

Ghost imaging is widely used in underwater active optical imaging because of its simple
structure, long distance, and non-local imaging. However, the complexity of the underwater …

Single-pixel imaging allows for high-speed imaging, miniaturization of optical systems, and
imaging over a broad wavelength range, which is difficult by conventional imaging sensors …

Deep learning has been extensively applied in many optical imaging problems in recent
years. Despite the success, the limitations and drawbacks of deep learning in optical …