The array spatial light field is an effective means for improving imaging speed in single-pixel imaging. However, distinguishing the intensity values of each sub-light field in the array spatial light field requires the help of the array detector or the time-consuming deep-learning algorithm. Aiming at this problem, we propose measurable speckle gradation Hadamard single-pixel imaging (MSG-HSI), which makes most of the refresh mechanism of the device generate the Hadamard speckle patterns and the high sampling rate of the bucket detector and is capable of measuring the light intensity fluctuation of the array spatial light field only by a simple bucket detector. The numerical and experimental results indicate that data acquisition in MSG-HSI is 4 times faster than in traditional Hadamard single-pixel imaging. Moreover, imaging quality in MSG-HSI can be further improved by image stitching technology. Our approach may open a new perspective for single-pixel imaging to improve imaging speed.

Recently, there has been increased attention toward 3D imaging using single-pixel single-photon detection (also known as temporal data) due to its potential advantages in terms of cost and power efficiency. However, to eliminate the symmetry blur in the reconstructed images, a fixed background is required. This paper proposes a fusion-data-based 3D imaging method that utilizes a single-pixel single-photon detector and millimeter-wave radar to capture temporal histograms of a scene from multiple perspectives. Subsequently, the 3D information can be reconstructed from the one-dimensional fusion temporal data by using an artificial neural network. Both the simulation and experimental results demonstrate that our fusion method effectively eliminates symmetry blur and improves the quality of the reconstructed images.

低采样率下的高质量鬼成像（GI）对于科学研究和实际应用具有重要意义，为了在低采样率条件下重建高质量图像，提出了一种高质量的被动式压缩鬼成像重构算法（PCGI-LRC）。基于图像的非局域相似块堆叠而成的矩阵具有低秩和稀疏奇异值的假设，从理论和实验上证明了一种对最小二乘问题与非局域相似块低秩近似问题进行联合迭代求解的方法，能够在低采样率（6.25%~50%）条件下实现高质量鬼成像。实验结果表明：与基于稀疏基约束的GI（GI-SBC）和基于全变分约束的GI（GI-TVC）相比，PCGI-LRC在峰值信噪比、结构相似性系数和视觉观测等方面均更优，在抑制重构噪声的同时保持了目标的细节信息，其中PSNR提升效果优于1.1 dB，SSIM提升效果优于0.04。

单像素成像技术以其较强的弱光探测能力和较宽的工作波段在生物医学成像领域有着广阔的应用前景。通过将单像素成像技术与内窥成像技术相结合，提出两种腹腔镜全彩单像素内窥成像技术方案：一种是RGB三色光源方案将颜色和空间信息分别按时序分配给照明和检测双方，另一种是白光光源方案通过三个探测器同时采集颜色和空间的信息。搭建了两种腹腔镜全彩单像素内窥成像系统，设计了模块化的单像素相机，以多色彩条和肠道模型为成像目标，通过实验从峰值信噪比、结构相似度和成像速度等方面，系统量化分析了两种全彩单像素内窥成像系统的技术指标。实验结果表明，两种方案峰值信噪比和结构相似度接近，而白光光源方案成像速度更快，可以适配各种腹腔镜进行内窥成像，为推动单像素成像在内窥成像领域的应用提供了理论指导。

光谱成像系统受色差影响会导致图谱混叠，本文将单像素成像以及计算关联成像分别与光谱成像系统相结合，并在系统中引入900~1 700 nm适用的消色差透镜来校正色差。首先计算出不同胶合消色差透镜的色差大小并以此选取透镜，所选消色差透镜相较其它透镜对色差校正可以提高一个量级。其次分析了色差对光谱成像系统的影响以及单像素成像和计算关联成像的差异。最后仿真和试验分析单像素光谱成像和计算关联光谱成像特点。试验结果表明对于900~1 700 nm的近红外光谱成像，基于消色差透镜的单像素光谱成像系统取得了更好的图像重构结果，其峰值信噪比（Peak Signal to Noise Ratio，PSNR）提高了3.93 dB，结构相似度（Structural Similarity, SSIM）提高了0.96%。消色差透镜的单像素光谱成像系统在近红外光谱成像中重构图像效果优于无消色差透镜的计算关联光谱成像。