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Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse…

Computer Vision and Pattern Recognition · Computer Science 2012-12-04 Prasad Sudhakar , Laurent Jacques , Xavier Dubois , Philippe Antoine , Luc Joannes

Imaging for an occluded object is usually a difficult problem, in this letter, we introduce an imaging scheme based on computational ghost imaging, which can obtain the image of a target object behind an obstacle. According to our…

Optics · Physics 2019-05-22 Chao Gao , Xiaoqian Wang , Lidan Gou , Yuling Feng , Hongji Cai , Zhifeng Wang , Zhihai Yao

In recent times, spatial light modulators have become a common tool in optics laboratories as well as industrial environment to shape the spatial structure of a beam. Although these devices are often easy to use, they usually come at a high…

Physics Education · Physics 2021-01-26 Sergei Panarin , Jonas Müller , Shashi Prabhakar , Robert Fickler

The information lost in images of undersampled CCD cameras can be recovered with the technique of `dithering'. A number of subexposures is taken with sub-pixel shifts in order to record structures on scales smaller than a pixel. The…

Instrumentation and Methods for Astrophysics · Physics 2013-07-17 Haniyeh Mahmoudian , Olaf Wucknitz

Popular methods in compressed sensing (CS) are dependent on deep learning (DL), where large amounts of data are used to train non-linear reconstruction models. However, ensuring generalisability over and access to multiple datasets is…

Image and Video Processing · Electrical Eng. & Systems 2024-09-02 Marlon Bran Lorenzana , Feng Liu , Shekhar S. Chandra

We demonstrate a wavefront sensor based on the compressive sensing, single-pixel camera. Using a high-resolution spatial light modulator (SLM) as a variable waveplate, we weakly couple an optical field's transverse-position and polarization…

Optics · Physics 2014-07-30 Gregory A. Howland , Daniel J. Lum , John C. Howell

Demonstrating the utility of quantum algorithms is a long-standing challenge, where quantum machine learning becomes one of the most promising candidate that can be resorted to. In this study, we investigate a quantum neural compressive…

Quantum Physics · Physics 2025-02-26 Xinliang Zhai , Tailong Xiao , Jingzheng Huang , Jianping Fan , Guihua Zeng

In this paper, we present a method for speckle pattern design using deep learning. The speckle patterns possess unique features after experiencing convolutions in Speckle-Net, our well-designed framework for speckle pattern generation. We…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Xiaoyu Nie , Haotian Song , Wenhan Ren , Xingchen Zhao , Zhedong Zhang , Tao Peng , Marlan O. Scully

Since the invention of digital cameras there has been a concerted drive towards detector arrays with higher spatial resolution. Microscanning is a technique that provides a final higher resolution image by combining multiple images of a…

We present a compressive sensing protocol that tracks a moving object by removing static components from a scene. The implementation is carried out on a ghost imaging scheme to minimize both the number of photons and the number of…

Computational ghost imaging (CGI) and single-pixel camera (SPC) are two types of single-pixel imaging and attracts increasing interest in recent years. The performance differences of CGI and SPC in difference light disturbance environment…

Image and Video Processing · Electrical Eng. & Systems 2022-04-19 Wenlin Gong

In absence of a lens to form an image, incoherent or partially coherent light scattering off an obstructive or reflective object forms a broad intensity distribution in the far field with only feeble spatial features. We show here that…

We demonstrate experimentally ghost optical coherence tomography using a broadband incoherent supercontinuum light source with shot-to-shot random spectral fluctuations. The technique is based on ghost imaging in the spectral domain where…

Ghost imaging is usually based on optoelectronic process and eletronic computing. We here propose a new ghost imaging scheme, which avoids any optoelectronic or electronic process. Instead, the proposed scheme exploits all-optical…

Image and Video Processing · Electrical Eng. & Systems 2019-04-16 Gao Wang , Huaibin Zheng , Yu Zhou , Hui Chen , Jianbin Liu , Yuchen He , Yuan Yuan , Fuli Li , Zhuo Xu

A new line of research uses compression methods to measure the similarity between signals. Two signals are considered similar if one can be compressed significantly when the information of the other is known. The existing compression-based…

Computer Vision and Pattern Recognition · Computer Science 2019-09-30 Tanaya Guha , Rabab K. Ward

Over the past decade, reflection matrix microscopy (RMM) and advanced image reconstruction algorithms have emerged to address the fundamental imaging depth limitations of optical microscopy in thick biological tissues and complex media. In…

Optics · Physics 2024-07-03 Sungsam Kang , Seokchan Yoon , Wonshik Choi

Single-shot fluorescence imaging techniques have gained increasing interest in recent years due to their ability to rapidly capture complex biological data without the need for extensive scanning. In this letter, we introduce polarized…

Optics · Physics 2025-01-31 Oumeng Zhang , Changhuei Yang

The usually reported pixel resolution of single pixel imaging (SPI) varies between $32 \times 32$ and $256 \times 256$ pixels falling far below imaging standards with classical methods. Low resolution results from the trade-off between the…

Optics · Physics 2022-06-22 Rafał Stojek , Anna Pastuszczak , Piotr Wróbel , Rafał Kotyński

Image simulation remains under-exploited for the most widely used biological phase microscopy methods, because of difficulties in simulating partially coherent illumination. We describe an open-source toolbox, microlith…

Optics · Physics 2014-05-14 Shalin B. Mehta , Rudolf Oldenbourg

The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of image data. Applying a random phase modulator to code the…

Optics · Physics 2016-05-18 Zhentao Liu , Shiyu Tan , Jianrong Wu , Enrong Li , Xia Shen , Shensheng Han