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Typically, optical microscopy uses the wavelike properties of light to image a scene. However, photon arrival times provide more information about emitter properties than the classical intensity alone. Here, we show that the Hanbury Brown…

Quantum Physics · Physics 2020-01-15 Josef G. Worboys , Daniel W. Drumm , Andrew D. Greentree

Pixel size in cameras and other refractive imaging devices is typically limited by the free-space diffraction. However, a vast majority of semiconductor-based detectors are based on materials with substantially high refractive index. We…

Optics · Physics 2018-03-28 Bo Fan , Sandeep Inampudi , Viktor A. Podolskiy

Recent advances in the field of attosecond science hold the promise of tracking electronic processes at the shortest space and time scales. Imaging methods that combine attosecond temporal with nanometer spatial resolution are currently out…

Photometric constraint is indispensable for self-supervised monocular depth estimation. It involves warping a source image onto a target view using estimated depth&pose, and then minimizing the difference between the warped and target…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Zhiwei Wang , Ying Zhou , Shiquan He , Ting Li , Fan Huang , Qiang Ding , Xinxia Feng , Mei Liu , Qiang Li

We address the problem of image color quantization using a Maximum Entropy based approach. Focusing on pixel mapping we argue that adding thermal noise to the system yields better visual impressions than that obtained from a simple energy…

Statistical Mechanics · Physics 2023-03-15 Samy Lakhal , Alexandre Darmon , Michael Benzaquen

Optical interferometers increasingly use single-mode fibers as spatial filters to convert varying wavefront distortion into intensity fluctuations which can be monitored for accurate calibration of fringe amplitudes. Here I propose using an…

Astrophysics · Physics 2009-11-06 J. D. Monnier

The increasing complexity of photonic integrated circuits requires the possibility to monitor the state of the circuit in order to stabilize the working point against environmental fluctuations or to perform reliable reconfiguration…

Digital Image Correlation (DIC) is of vital importance in the field of experimental mechanics, yet, producing suitable DIC patterns for demanding in-situ mechanical tests remains challenging, especially for ultra-fine patterns, despite the…

Applied Physics · Physics 2019-08-20 Johan Hoefnagels , Marc van Maris , Tijmen Vermeij

Despite recent advances in image enhancement, it remains difficult for existing approaches to adaptively improve the brightness and contrast for both low-light and normal-light images. To solve this problem, we propose a novel 2D histogram…

Computer Vision and Pattern Recognition · Computer Science 2022-09-15 Xiaomeng Wu , Yongqing Sun , Akisato Kimura , Kunio Kashino

We propose a method that combines sparse depth (LiDAR) measurements with an intensity image and to produce a dense high-resolution depth image. As there are few, but accurate, depth measurements from the scene, our method infers the…

Image and Video Processing · Electrical Eng. & Systems 2019-11-01 Alireza Ahrabian , Joao F. C. Mota , Andrew M. Wallace

This review aims to provide a simple introduction to the application of optical correlation methods in colloidal science. In particular, I plan to show that full appraisal of the intimate relation between light scattering and microscopy…

Soft Condensed Matter · Physics 2013-06-07 Roberto Piazza

A novel full-field surface profilometer using diffractive-based chromatic confocal microscopy and area-scan spectral sensing is developed. A normalized cross correlation algorithm was developed to establish a spectrum-depth response curve.…

Optics · Physics 2019-04-24 Duc Trung Nguyen , Liang-Chia Chen

We propose a new compressive imaging method for reconstructing 2D or 3D objects from their scattered wave-field measurements. Our method relies on a novel, nonlinear measurement model that can account for the multiple scattering phenomenon,…

Computer Vision and Pattern Recognition · Computer Science 2016-10-07 Hsiou-Yuan Liu , Ulugbek S. Kamilov , Dehong Liu , Hassan Mansour , Petros T. Boufounos

We present a simple, yet effective diffusion-based method for fine-grained, parametric control over light sources in an image. Existing relighting methods either rely on multiple input views to perform inverse rendering at inference time,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Nadav Magar , Amir Hertz , Eric Tabellion , Yael Pritch , Alex Rav-Acha , Ariel Shamir , Yedid Hoshen

Polarization is a degree of freedom of light carrying important information that is usually absent in intensity and spectral content. Imaging polarimetry is the process of determining the polarization state of light, either partially or…

Optics · Physics 2018-03-12 Ehsan Arbabi , Seyedeh Mahsa Kamali , Amir Arbabi , Andrei Faraon

Interest in the study of magnetic fields and the properties of interstellar dust, explored through increasingly capable far-IR/submillimeter polarimetry, along with maturing detector technology, have set the stage for a transformative leap…

Instrumentation and Methods for Astrophysics · Physics 2025-09-03 C. Darren Dowell , Brandon S. Hensley , Marc Sauvage

Most current single image camera calibration methods rely on specific image features or user input, and cannot be applied to natural images captured in uncontrolled settings. We propose directly inferring camera calibration parameters from…

Computer Vision and Pattern Recognition · Computer Science 2018-04-24 Yannick Hold-Geoffroy , Kalyan Sunkavalli , Jonathan Eisenmann , Matt Fisher , Emiliano Gambaretto , Sunil Hadap , Jean-François Lalonde

Intensity mapping -- the large-scale mapping of selected spectral lines without resolving individual sources -- is quickly emerging as an efficient way to conduct large cosmological surveys. Multiple surveys covering a variety of lines…

Cosmology and Nongalactic Astrophysics · Physics 2025-01-22 Hannah Fronenberg , Adrian Liu

We describe in this paper a new, public software for accurate "PSF-matched" multiband photometry for images of different resolution and depth, that we have named ConvPhot, of which we analyse performances and limitations. It is designed to…

Astrophysics · Physics 2009-11-13 C. De Santis , A. Grazian , A. Fontana , P. Santini

Stellar intensity interferometry (SII) is based on the correlation of the light intensity fluctuations of a star detected at two or more telescopes, with no need to combine the collected photons directly. A measurement of the correlation in…

Instrumentation and Methods for Astrophysics · Physics 2024-04-30 Alessia Spolon , Michele Fiori , Luca Zampieri , Marco Landoni
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