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Optical coherence tomography (OCT) captures cross-sectional data and is used for the screening, monitoring, and treatment planning of retinal diseases. Technological developments to increase the speed of acquisition often results in systems…

Image and Video Processing · Electrical Eng. & Systems 2023-01-03 Timothy T. Yu , Da Ma , Jayden Cole , Myeong Jin Ju , Mirza F. Beg , Marinko V. Sarunic

One of the main characteristics of optical imaging systems is the spatial resolution, which is restricted by the diffraction limit to approximately half the wavelength of the incident light. Along with the recently developed classical…

We propose a novel technique of microscopy to overcome the effects of both scattering and limitation of the accessible depth due to the objective working distance. By combining Laser Optical Feedback Imaging (LOFI) with Acoustic Photon…

Large numerical aperture (NA) and large aperture metalenses have shown significant performance and abundant applications in biomedical and astronomical imaging fields. However, the high space-bandwidth product (SBP) requirements for…

Optics · Physics 2024-11-05 Chuanjian Zheng , Wenli Wang , Yanfang Ji , Yao Hu , Shaohui Zhang , Qun Hao

Object detection in remote sensing, especially in aerial images, remains a challenging problem due to low image resolution, complex backgrounds, and variation of scale and angles of objects in images. In current implementations, multi-scale…

Computer Vision and Pattern Recognition · Computer Science 2018-10-19 Peng Sun , Guang Chen , Guerdan Luke , Yi Shang

Hyperspectral imaging acquires data in both the spatial and frequency domains to offer abundant physical or biological information. However, conventional hyperspectral imaging has intrinsic limitations of bulky instruments, slow data…

Image and Video Processing · Electrical Eng. & Systems 2023-04-06 Yuhyun Ji , Sang Mok Park , Semin Kwon , Jung Woo Leem , Vidhya Vijayakrishnan Nair , Yunjie Tong , Young L. Kim

We present two long-working-distance objective lenses with numerical apertures (NA) of 0.29 and 0.4 for single-atom experiments. The objective lenses are assembled entirely by the commercial on-catalog $\Phi$1'' singlets. Both the…

The primary aim of single-image super-resolution is to construct high-resolution (HR) images from corresponding low-resolution (LR) inputs. In previous approaches, which have generally been supervised, the training objective typically…

Computer Vision and Pattern Recognition · Computer Science 2020-07-22 Sachit Menon , Alexandru Damian , Shijia Hu , Nikhil Ravi , Cynthia Rudin

Supernova H0pe is a multiply-imaged Type Ia supernova (SN~Ia) and the second lensed SN to yield a measurement of the Hubble constant by the time-delay cosmography method, finding $H_0 = 75.4^{+8.1}_{-5.5} \text{km s}^{-1} \text{Mpc}^{-1}$…

Conventional microscope objective lenses are diffraction limited, which means that they cannot resolve features smaller than half the illumination wavelength. Under white light illumination, such resolution limit is about 250-300 nm for an…

Instrumentation and Detectors · Physics 2021-08-26 Bing Yan , Zengbo Wang , Alan Parker , Yukun Lai , John Thomas , Liyang Yue , James Monks

Hyperspectral pansharpening is a process of merging a high-resolution panchromatic (PAN) image and a low-resolution hyperspectral (LRHS) image to create a single high-resolution hyperspectral (HRHS) image. Existing Bayesian-based HS…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Xiangyu Rui , Xiangyong Cao , Li Pang , Zeyu Zhu , Zongsheng Yue , Deyu Meng

In remote sensing, images acquired by various earth observation satellites tend to have either a high spatial and low spectral resolution or vice versa. Pansharpening is a technique which aims to improve spatial resolution of multispectral…

Computer Vision and Pattern Recognition · Computer Science 2015-11-17 Shailesh Panchal , Rajesh Thakker

Lensfree on-chip microscopy is an emerging imaging technique that can be used to visualize and study biological specimens without the need for imaging lens systems. Important issues that can limit the performance of lensfree on-chip…

Optics · Physics 2015-05-11 Alexander Wong , Farnoud Kazemzadeh , Chao Jin , Xiao Yu Wang

Hyperspectral imaging is a cutting-edge type of remote sensing used for mapping vegetation properties, rock minerals and other materials. A major drawback of hyperspectral imaging devices is their intrinsic low spatial resolution. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Leon Bungert , David A. Coomes , Matthias J. Ehrhardt , Jennifer Rasch , Rafael Reisenhofer , Carola-Bibiane Schönlieb

Panoptic segmentation is a key enabler for robotic perception, as it unifies semantic understanding with object-level reasoning. However, the increasing complexity of state-of-the-art models makes them unsuitable for deployment on…

Robotics · Computer Science 2026-05-19 Calvin Galagain , Martyna Poreba , François Goulette , Cyrill Stachniss

Training Single-Image Super-Resolution (SISR) models using pixel-based regression losses can achieve high distortion metrics scores (e.g., PSNR and SSIM), but often results in blurry images due to insufficient recovery of high-frequency…

Image and Video Processing · Electrical Eng. & Systems 2024-09-10 Qiwen Zhu , Yanjie Wang , Shilv Cai , Liqun Chen , Jiahuan Zhou , Luxin Yan , Sheng Zhong , Xu Zou

Image Phase Alignment Super-sampling (ImPASS) is a computational method for combining displaced low-resolution images into a single high-resolution image. The general steps include measuring the relative displacements, up-sampling, aligning…

Optics · Physics 2026-01-09 James N. Caron

Light trapping in sub-wavelength semiconductor nanowires (NWs) offers a promising approach to simultaneously reducing material consumption and enhancing photovoltaic performance. Nevertheless, the absorption efficiency of a NW, defined by…

Mesoscale and Nanoscale Physics · Physics 2023-07-19 Yiming Yang , Xingyue Peng , Steven Hyatt , Dong Yu

Lensless imaging can provide visual privacy due to the highly multiplexed characteristic of its measurements. However, this alone is a weak form of security, as various adversarial attacks can be designed to invert the one-to-many scene…

Computer Vision and Pattern Recognition · Computer Science 2022-11-24 Eric Bezzam , Martin Vetterli , Matthieu Simeoni

Although highly accurate automated diagnostic techniques for melanoma have been reported, the realization of a system capable of providing diagnostic evidence based on medical indices remains an open issue because of difficulties in…

Computer Vision and Pattern Recognition · Computer Science 2021-03-04 Kasumi Obi , Quan Huu Cap , Noriko Umegaki-Arao , Masaru Tanaka , Hitoshi Iyatomi
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