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The Virtual Image Correlation method applies for the measurement of silhouettes boundaries with sub-pixel precision. It consists in a correlation between the image of interest and a virtual image based on a parametrized curve. Thanks to a…

Computer Vision and Pattern Recognition · Computer Science 2020-09-11 M. L. M. François

Purpose: Field monitoring measures field perturbations, which can be accounted for during image reconstructions. In certain field monitoring environments, significant phase deviations can arise far from isocenter due to the finite extent of…

Medical Physics · Physics 2023-01-25 Paul I. Dubovan , Kyle M. Gilbert , Corey A. Baron

This study presents a numerical investigation of solid-core photonic crystal fibers with circular and hexagonal cladding geometries. The goal is to optimize optical parameters for nonlinear photonics and environmental sensing.…

Image enhancement aims at processing an input image so that the visual content of the output image is more pleasing or more useful for certain applications. Although histogram equalization is widely used in image enhancement due to its…

Computer Vision and Pattern Recognition · Computer Science 2021-01-18 Xiangyuan Zhu , Xiaoming Xiao , Tardi Tjahjadi , Zhihu Wu , Jin Tang

A Light Field (LF) camera consists of an additional two-dimensional array of micro-lenses placed between the main lens and sensor, compared to a conventional camera. The sensor pixels under each micro-lens receive light from a sub-aperture…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Suresh Nehra , Aupendu Kar , Jayanta Mukhopadhyay , Prabir Kumar Biswas

Correlation plenoptic imaging (CPI) is emerging as a promising approach to light-field imaging (LFI), a technique enabling simultaneous measurement of light intensity distribution and propagation direction from a scene. LFI allows…

Optics · Physics 2024-06-21 Gianlorenzo Massaro

The application of data augmentation for deep learning (DL) methods plays an important role in achieving state-of-the-art results in supervised, semi-supervised, and self-supervised image classification. In particular, channel…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Tom Burgert , Begüm Demir

Precise perception of the environment is essential in highly automated driving systems, which rely on machine learning tasks such as object detection and segmentation. Compression of sensor data is commonly used for data handling, while…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Christian Steinhauser , Philipp Reis , Hubert Padusinski , Jacob Langner , Eric Sax

Airborne laser scanning and photogrammetry are two main techniques to obtain 3D data representing the object surface. Due to the high cost of laser scanning, we want to explore the potential of using point clouds derived by dense image…

Computer Vision and Pattern Recognition · Computer Science 2018-07-26 Zhenchao Zhang , Markus Gerke , George Vosselman , Michael Ying Yang

We present several corrections for point source photometry to be applied to data from the Infrared Array Camera (IRAC) on the Spitzer Space Telescope. These corrections are necessary because of characteristics of the IRAC arrays and optics…

In coherent diffractive imaging (CDI) the resolution of the reconstructed object is limited by the numerical aperture of the experimental setup. We present here a theoretical and numerical study for achieving super-resolution by…

Data Analysis, Statistics and Probability · Physics 2016-09-20 Tatiana Latychevskaia , Yuriy Chushkin , Hans-Werner Fink

Generalization of deep-learning-based (DL) computer vision algorithms to various image perturbations is hard to establish and remains an active area of research. The majority of past analyses focused on the images already captured, whereas…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Iuliia Kotseruba , John K. Tsotsos

In this note I describe an inexpensive and simple laser-based method to measure the flatness of the LSST focal plane assembly (FPA) in situ, i.e. while the FPA is inside its cryostat, at -100 C and under vacuum. The method may also allow…

Astrophysics · Physics 2007-05-23 Willy Langeveld

Measuring the similarity of images is a fundamental problem to computer vision for which no universal solution exists. While simple metrics such as the pixel-wise L2-norm have been shown to have significant flaws, they remain popular. One…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Oskar Sjögren , Gustav Grund Pihlgren , Fredrik Sandin , Marcus Liwicki

Intrapixel nonuniformity is known to exist in CCD and CMOS image sensors, though the effects in backside illuminated (BSI) CCDs are too small to be a concern for most astronomical observations. However, projects like the Large Synoptic…

Instrumentation and Methods for Astrophysics · Physics 2017-07-25 Hu Zhan , Xin Zhang , Li Cao

We develop an analytic model that relates intensity correlation measurements performed by an image sensor to the properties of photon pairs illuminating it. Experiments using both an effective single-photon counting (SPC) camera and a…

Quantum Physics · Physics 2018-05-23 Hugo Defienne , Matthew Reichert , Jason W. Fleischer

Image enhancement aims at improving the information content of original image for a specific purpose. This purpose could be for visual interpretation or for effective extraction of required details. Nevertheless, some acquired images are…

Computer Vision and Pattern Recognition · Computer Science 2019-09-10 E Onyedinma , I Onyenwe , H Inyiama

A differential microphone array (DMA) offers enhanced capabilities to obtain sharp nulls at the cost of relatively broad peaks in the beam power pattern. This can be used for applications that require nullification or attenuation of…

Signal Processing · Electrical Eng. & Systems 2025-06-27 Shweta Pal , Arun Kumar , Monika Agrawal

With the increasing adoption of iris recognition systems and the expansion of large-scale enrollment databases, there is a growing need to efficiently assess iris image quality at the time of acquisition, particularly to model user…

Image and Video Processing · Electrical Eng. & Systems 2025-10-24 Jack Pessaud , Eric Moran , John Nguyen , Joel Palko

Photon coincidence spectroscopy is a promising technique for probing the nonlinear regime of cavity quantum electrodynamics in the optical domain, however its accuracy is mitigated by two factors: higher-order photon correlations, which…

Quantum Physics · Physics 2009-09-25 L. Horvath , B. C. Sanders