The potential of random pattern based computational ghost imaging (CGI) for real-time
applications has been offset by its long image reconstruction time and inefficient …

Since the advent of single-pixel imaging and machine learning, both fields have flourished,
but followed parallel tracks. Until recently, machine learning, especially deep learning, has …

Fourier single-pixel imaging (FSI) technology has attracted wide attention for its high
imaging efficiency and broad applicability. However, the existing sampling methods cannot …

摘要随着大数据时代的来临, 深度学习被广泛地应用于图像处理, 语音识别, 自动驾驶等领域.
作为一种数据驱动的算法, 深度学习应用于光学领域可以有效地提高计算效率和成像质量 …

As an alternative solution to the lack of cost-effective multipixel terahertz cameras, terahertz
single-pixel imaging that is free from pixel-by-pixel mechanical scanning has been attracting …

Providing secure and efficient transmission for multiple optical images has been an
important issue in the field of information security. Here we present a hybrid image …

There exists the contradiction between imaging efficiency and imaging quality for Fourier
single-pixel imaging (FSI). Although the deep learning approaches have solved this problem …

In this article, we demonstrate an efficient terahertz single-pixel imaging system
incorporating deep learning networks. Experimental results show that by combining a …

Photonic integrated interferometric imaging (PIII) is an emerging technique that uses far-field
spatial coherence measurements to extract intensity information from a source to form an …

Single-pixel cameras that measure image coefficients have various promising applications,
in particular for hyper-spectral imaging. Here, we investigate deep neural networks that …