activity
20172024
most citedVisual cryptography in single-pixel imaging

155 citations · 415 across the 9 of their papers we have counts for

collaborators

9 papers

physics.optics2024

Physically interpretable diffractive optical networks for high-dimensional vortex mode sorting

Ruitao Wu, Juncheng Fang, Rui Pan +5

Despite the significant progress achieved by diffractive optical networks in diverse computing tasks, such as mode multiplexing and demultiplexing, investigations into the physical…

eess.IV2019★ 155 cited

Visual cryptography in single-pixel imaging

Shuming Jiao, Jun Feng, Yang Gao +2

Two novel visual cryptography (VC) schemes are proposed by combining VC with single-pixel imaging (SPI) for the first time. It is pointed out that the overlapping of visual key ima…

cs.CV2019★ 65 cited

Does deep learning always outperform simple linear regression in optical imaging?

Shuming Jiao, Yang Gao, Jun Feng +2

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

eess.IV2019

Data hiding in complex-amplitude modulation using a digital micromirror device

Shuming Jiao, Dongfang Zhang, Chonglei Zhang +3

A digital micromirror device (DMD) is an amplitude-type spatial light modulator. However, a complex-amplitude light modulation with a DMD can be achieved using the superpixel schem…

eess.IV2019★ 1 cited

Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging

Shuming Jiao, Yang Gao, Ting Lei +2

In many previous works, a single-pixel imaging (SPI) system is constructed as an optical image encryption system. Unauthorized users are not able to reconstruct the plaintext image…

cs.CV2019★ 134 cited

Optical machine learning with incoherent light and a single-pixel detector

Shuming Jiao, Jun Feng, Yang Gao +3

An optical diffractive neural network (DNN) can be implemented with a cascaded phase mask architecture. Like an optical computer, the system can perform machine learning tasks such…