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Due to its noninvasive character, optical coherence tomography (OCT) has become a popular diagnostic method in clinical settings. However, the low-coherence interferometric imaging procedure is inevitably contaminated by heavy speckle…

Image and Video Processing · Electrical Eng. & Systems 2020-07-08 Yongqiang Huang , Wenjun Xia , Zexin Lu , Yan Liu , Hu Chen , Jiliu Zhou , Leyuan Fang , Yi Zhang

Refractive error, one of the leading cause of visual impairment, can be corrected by simple interventions like prescribing eyeglasses. We trained a deep learning algorithm to predict refractive error from the fundus photographs from…

Computer Vision and Pattern Recognition · Computer Science 2020-06-03 Avinash V. Varadarajan , Ryan Poplin , Katy Blumer , Christof Angermueller , Joe Ledsam , Reena Chopra , Pearse A. Keane , Greg S. Corrado , Lily Peng , Dale R. Webster

Optical coherence tomography (OCT) is commonly used to analyze retinal layers for assessment of ocular diseases. In this paper, we propose a method for retinal layer segmentation and quantification of uncertainty based on Bayesian deep…

Computer Vision and Pattern Recognition · Computer Science 2018-09-13 Suman Sedai , Bhavna Antony , Dwarikanath Mahapatra , Rahil Garnavi

Human-object contact (HOT) is designed to accurately identify the areas where humans and objects come into contact. Current methods frequently fail to account for scenarios where objects are frequently blocking the view, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Yuxiao Wang , Wenpeng Neng , Zhenao Wei , Yu Lei , Weiying Xue , Nan Zhuang , Yanwu Xu , Xinyu Jiang , Qi Liu

One native source of quality deterioration in medical imaging, and especially in our case optical coherence tomography (OCT), is the turbid biological media in which photon does not take a predictable path and many scattering events would…

Image and Video Processing · Electrical Eng. & Systems 2020-11-26 Ali Alavi

We show that conditional measurements on atoms following their interaction with a resonant cavity field mode can be used to effectively counter the decoherence of Fock-state superpositions due to cavity leakage.

Quantum Physics · Physics 2009-11-06 M. Fortunato , G. Harel , G. Kurizki

Defocus blur is a common problem in photography. It arises when an image is captured with a wide aperture, resulting in a shallow depth of field. Sometimes it is desired, e.g., in portrait effect. Otherwise, it is a problem from both an…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Kunal Swami

Dynamic full-field optical coherence microscopy (d-FF-OCM) is a label-free imaging technique that captures intrinsic subcellular motions to generate functional contrast. This dynamic approach yields images with fluorescence-like contrast,…

Optics · Physics 2025-08-06 Erikas Tarvydas , Austeja Treciokaite , Egidijus Auksorius

Significance: Speckle has historically been considered a source of noise in coherent light imaging. However, a number of works in optical coherence tomography (OCT) imaging have shown that speckle patterns may contain relevant information…

Jones-matrix optical coherence tomography (JM-OCT) is an extension of OCT that provides multiple types of optical contrasts of biological and clinical samples. JM-OCT measures the spatial distribution of the Jones matrix of the sample and…

Medical Physics · Physics 2023-05-04 Yoshiaki Yasuno

Multiple scattering of waves in disordered media is a nightmare whether it be for detection or imaging purposes. The best approach so far to get rid of multiple scattering is optical coherence tomography. It basically combines confocal…

Optical coherence tomography (OCT) is a powerful technology for rapid volumetric imaging in biomedicine. The bright field imaging approach of conventional OCT systems is based on the detection of directly backscattered light, thereby…

Though there exists a reasonable forward model for blur based on optical physics, recovering depth from a collection of defocused images remains a computationally challenging optimization problem. In this paper, we show that with…

Computer Vision and Pattern Recognition · Computer Science 2026-02-27 Holly Jackson , Caleb Adams , Ignacio Lopez-Francos , Benjamin Recht

Dynamic full-field optical coherence tomography (D-FFOCT) has recently emerged as a label-free imaging tool, capable of resolving cell types and organelles within 3D live samples, whilst monitoring their activity at tens of milliseconds…

Optical coherence tomography angiography (OCTA) requires high transverse sampling density for visualizing retinal and choroidal capillaries. Low transverse sampling causes resolution degradation, such as the angiograms in wide-field OCTA.…

Image and Video Processing · Electrical Eng. & Systems 2020-01-09 Ting Zhou , Kang Zhou , Jianlong Yang , Liyang Fang , Yan Hu , Yitian Zhao , Jun Cheng , Xiangping Chen , Shenghua Gao , Jiang Liu

Microscopy images are crucial for life science research, allowing detailed inspection and characterization of cellular and tissue-level structures and functions. However, microscopy data are unavoidably affected by image degradations, such…

Image and Video Processing · Electrical Eng. & Systems 2025-11-20 Nuno Pimpão Martins , Yannis Kalaidzidis , Marino Zerial , Florian Jug

Over the past three decades, defocus has consistently provided groundbreaking depth information in scene images. However, accurately estimating depth from 2D images continues to be a persistent and fundamental challenge in the field of 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Akbar Saadat

Whole-eye optical coherence tomography (WEOCT) has emerged as a transformative imaging modality capable of simultaneously capturing the anterior and posterior segments of the human eye. WEOCT enables comprehensive ocular biometry, which is…

Terahertz (THz) imaging has emerged as a promising technology in medical diagnostics due to its non-ionizing radiation and high sensitivity to water content. However, conventional THz imaging systems face limitations such as slow mechanical…

Most visual odometry algorithm for a monocular camera focuses on points, either by feature matching, or direct alignment of pixel intensity, while ignoring a common but important geometry entity: edges. In this paper, we propose an odometry…

Computer Vision and Pattern Recognition · Computer Science 2017-03-21 Shichao Yang , Sebastian Scherer