论文信息 - Blur Removal and Quality Enhancement for Reconstructed Images in Dynamic Single-pixel Imaging

Blur Removal and Quality Enhancement for Reconstructed Images in Dynamic Single-pixel Imaging

The reconstruction results of a fast moving object can be heavily blurred and noisy in single-pixel imaging. We estimate optimal motion parameters and reconstruct images by motion-compensated illumination patterns to significantly enhance the quality.

[1] Yang Gao,et al. Optical machine learning with incoherent light and a single-pixel detector , 2019, Optics letters.

[2] Zibang Zhang,et al. Secured single-pixel broadcast imaging. , 2018, Optics express.

[3] Jianwei Ma,et al. Single-Pixel Remote Sensing , 2009, IEEE Geoscience and Remote Sensing Letters.

[4] Shuming Jiao,et al. Visual cryptography in single-pixel imaging , 2020, Optics express.

[5] Miles J. Padgett,et al. Principles and prospects for single-pixel imaging , 2018, Nature Photonics.

[6] Kevin J. Mitchell,et al. Single-pixel infrared and visible microscope , 2014 .

[7] Mingjie Sun,et al. Motion estimation and quality enhancement for a single image in dynamic single-pixel imaging. , 2019, Optics express.