English
Related papers

Related papers: Super-resolution in high contrast media

200 papers

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep…

Computer Vision and Pattern Recognition · Computer Science 2020-02-11 Zhihao Wang , Jian Chen , Steven C. H. Hoi

This study investigates the application of deep-learning diffusion models for the super-resolution of weather data, a novel approach aimed at enhancing the spatial resolution and detail of meteorological variables. Leveraging the…

Machine Learning · Computer Science 2024-09-02 Jan Martinů , Petr Šimánek

Coherent diffraction imaging is a high-resolution imaging technique whose potential can be greatly enhanced by applying the extrapolation method presented here. We demonstrate enhancement in resolution of a non-periodical object…

Optical microscopy has so far been restricted to superficial layers, leaving many important biological questions unanswered. Random scattering causes the ballistic focus, which is conventionally used for image formation, to decay…

Optics · Physics 2012-08-28 Ke Si , Reto Fiolka , Meng Cui

Clean images are crucial for visual tasks such as small object detection, especially at high resolutions. However, real-world images are often degraded by adverse weather, and weather restoration methods may sacrifice high-frequency details…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Wenjie Li , Jinglei Shi , Jin Han , Heng Guo , Zhanyu Ma

We introduce Super-Resonant Dark Matter, a model of self-interacting dark matter based on the low energy effective theory of supersymmetric QCD. The structure of the theory ensures a resonant enhancement of the self-interactions of the low…

High Energy Physics - Phenomenology · Physics 2022-12-14 Csaba Csáki , Andrew Gomes , Yonit Hochberg , Eric Kuflik , Kevin Langhoff , Hitoshi Murayama

In this paper, we propose LSRNA, a novel framework for higher-resolution (exceeding 1K) image generation using diffusion models by leveraging super-resolution directly in the latent space. Existing diffusion models struggle with scaling…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Jinho Jeong , Sangmin Han , Jinwoo Kim , Seon Joo Kim

A recent paper showed how to construct a lens that focuses near field radiation and hence produce resolution unlimited by wavelength. The prescription requires lossless materials with negative refractive index: finite loss cuts off the…

Condensed Matter · Physics 2009-11-07 S. Anantha Ramakrishna , J. B. Pendry

We propose to achieve super-resolution in far-field imaging by use of dual-dye-doped nanoparticles. The nanoparticles with a diameter of a few nanometers are co-doped with two types of dye molecules, namely, Cy3 and Cy5, at a controllable…

Optics · Physics 2015-05-13 Jianfang Chen , Ya Cheng

Recent years have witnessed the prosperity of reference-based image super-resolution (Ref-SR). By importing the high-resolution (HR) reference images into the single image super-resolution (SISR) approach, the ill-posed nature of this…

Computer Vision and Pattern Recognition · Computer Science 2024-05-02 Zihan Wang , Ziliang Xiong , Hongying Tang , Xiaobing Yuan

In this paper, we present the proof of superlensing an arbitrary object using complementary media and we study reflecting complementary media for electromagnetic waves. The analysis is based on the reflecting technique and new results on…

Mathematical Physics · Physics 2016-03-29 Hoai-Minh Nguyen

The restrictions on the resolution of transmission devices formed by wire media (arrays of conductive cylinders) recently proposed in [Phys. Rev. B, 71, 193105 (2005)] and experimentally tested in [Phys. Rev. B, 73, 033108 (2006)] are…

Optics · Physics 2009-11-11 Pavel A. Belov , Mario G. Silveirinha

Upscaled video detection is a helpful tool in multimedia forensics, but it is a challenging task that involves various upscaling and compression algorithms. There are many resolution-enhancement methods, including interpolation and…

Computer Vision and Pattern Recognition · Computer Science 2022-05-24 Viacheslav Meshchaninov , Ivan Molodetskikh , Dmitriy Vatolin

Wavefront shaping allows focusing light through or inside strongly scattering media, but the background intensity also increases due to long-range correlations, reducing the target's contrast. By manipulating non-local intensity…

Optical near-fields of small dielectric particles are of particular importance and interests for nanoscale optical engineering such as field localization, fabrication, characterization, sensing and imaging. This paper represents a…

Optics · Physics 2013-04-25 Zengbo Wang , Yi Zhou , Boris Luk'yanchuk

Single-image super-resolution aims to generate a high-resolution version of a low-resolution image, which serves as an essential component in many computer vision applications. This paper investigates the robustness of deep learning-based…

Computer Vision and Pattern Recognition · Computer Science 2019-10-03 Jun-Ho Choi , Huan Zhang , Jun-Hyuk Kim , Cho-Jui Hsieh , Jong-Seok Lee

The emergence of far-field super-resolution microscopy has rejuvenated the possibility for nanoscale imaging. Approaches to far-field super-resolution that utilize point scanning often depends on spatially reducing the size of the focused…

Optics · Physics 2022-06-17 Ning Xu , Guoxuan Liu , Qiaofeng Tan

We present a new approach to super-resolution optical imaging, based on structured illumination in hyperbolic media. The proposed system allows for planar geometry, has unlimited field of view, and is robust with respect to optical noise…

Optics · Physics 2016-02-16 Evgenii Narimanov

Studying the problem of wave propagation in media with resistive boundaries can be made by searching for "resonance modes" or free oscillations regimes. In the present article, a simple case is investigated, which allows one to enlighten…

Classical Physics · Physics 2007-05-23 Jean Kergomard , Vincent Debut , Denis Matignon

A priori information on the positivity of source intensities is ubiquitous in imaging fields and is also important for a multitude of super-resolution and deconvolution algorithms. However, the fundamental resolution limit of positive…

Image and Video Processing · Electrical Eng. & Systems 2023-08-01 Ping Liu , Yanchen He , Habib Ammari