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相关论文: The Thresher: Lucky Imaging without the Waste

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Lucky imaging is a high-resolution astronomical image recovery technique with two classic implementation algorithms, i.e. image selecting, shifting and adding in image space and data selecting and image synthesizing in Fourier space. This…

天体物理仪器与方法 · 物理学 2021-06-23 Jinliang Wang , Binhua Li , Xiliang Zhang

Lucky Imaging is now an established observing procedure that delivers near diffraction-limited images in the visible on ground-based telescopes up to ~2.5 m in diameter. Combined with low order adaptive optics it can deliver resolution…

天体物理仪器与方法 · 物理学 2015-06-15 Craig Mackay

Lucky imaging is a technique for high resolution astronomical imaging at visible wavelengths, utilising medium sized ground based telescopes in the 2--4m class. The technique uses high speed, low noise cameras to record short exposures…

天体物理仪器与方法 · 物理学 2014-04-24 T. D. Staley

Modern image restoration and super-resolution methods utilize deep learning due to its superior performance compared to traditional algorithms. However, deep learning typically requires large labeled training datasets, which are rarely…

计算机视觉与模式识别 · 计算机科学 2026-05-05 Suraj Singh , Anastasia Batsheva , Oleg Y. Rogov , Ahmed Bouridane

We present a blind multiframe image-deconvolution method based on robust statistics. The usual shortcomings of iterative optimization of the likelihood function are alleviated by minimizing the M-scale of the residuals, which achieves more…

天体物理仪器与方法 · 物理学 2017-11-09 Matthias Lee , Tamas Budavari , Richard White , Charles Gulian

Lucky image (LI) is a technique to achieve near diffraction-limit high-angular resolution images for meter-class optical telescopes. In this work, by observing the core of globular cluster M15, we demonstrated the LI technique can be…

天体物理仪器与方法 · 物理学 2025-05-14 Yang-Peng Hsieh , Chow-Choong Ngeow

The last 15 years have seen a surge of new multi-chip optical and near-IR imagers. While some of them are accompanied by specific reduction pipelines, user-friendly and generic reduction tools are uncommon. In this paper I introduce THELI,…

天体物理仪器与方法 · 物理学 2013-11-11 Mischa Schirmer

The highest resolution images ever taken in the visible were obtained by combining Lucky Imaging and low order adaptive optics. This paper describes a new instrument to be deployed on the WHT 4.2m and GTC 10.4 m telescopes on La Palma, with…

We present an image dehazing algorithm with high quality, wide application, and no data training or prior needed. We analyze the defects of the original dehazing model, and propose a new and reliable dehazing reconstruction and dehazing…

计算机视觉与模式识别 · 计算机科学 2023-03-17 Zheyan Jin , Shiqi Chen , Huajun Feng , Zhihai Xu , Qi Li , Yueting Chen

The Adaptive Optics Lucky Imager (AOLI) is a new instrument designed to combine adaptive optics (AO) and lucky imaging (LI) techniques to deliver high spatial resolution in the visible, 20 mas, from ground-based telescopes. Here we present…

Within the context of upcoming full-sky lensing surveys, the edge-preserving non- linear algorithm Aski is presented. Using the framework of Maximum A Posteriori inversion, it aims at recovering the full-sky convergence map from surveys…

宇宙学与河外天体物理 · 物理学 2015-05-13 C. Pichon , E. Thiebaut , S. Prunet , K. Benabed , S. Colombi , T. Sousbie , R. Teyssier

A simple, yet general, formalism for the optimized linear combination of astrophysical images is constructed and demonstrated. The formalism allows the user to combine multiple undersampled images to provide oversampled output at high…

天体物理仪器与方法 · 物理学 2015-05-28 Barnaby Rowe , Christopher Hirata , Jason Rhodes

Blind image deblurring is a challenging problem in computer vision, which aims to restore both the blur kernel and the latent sharp image from only a blurry observation. Inspired by the prevalent self-example prior in image…

计算机视觉与模式识别 · 计算机科学 2019-06-12 Yuanchao Bai , Huizhu Jia , Ming Jiang , Xianming Liu , Xiaodong Xie , Wen Gao

We use a Lucky Imaging system to obtain I-band images with much improved angular resolution on a ground-based 2.5m telescope. We present results from a 10-night assessment campaign on the 2.56m Nordic Optical Telescope and quantify the…

天体物理学 · 物理学 2007-05-23 Nicholas M. Law , Craig D. Mackay , John E. Baldwin

Lensless imagers based on diffusers or encoding masks enable high-dimensional imaging from a single shot measurement and have been applied in various applications. However, to further extract image information such as edge detection,…

图像与视频处理 · 电气工程与系统科学 2024-06-10 Ze Zheng , Baolei Liu , Jiaqi Song , Lei Ding , Xiaolan Zhong , David Mcgloin , Fan Wang

We present a computationally efficient expectation-maximization framework for multi-frame image deconvolution and super-resolution. Our method is well adapted for processing large scale imaging data from modern astronomical surveys. Our…

天体物理仪器与方法 · 物理学 2025-10-07 Yashil Sukurdeep , Fausto Navarro , Tamas Budavari

We present an empirical analysis of the effectiveness of frame selection (also known as Lucky Imaging) techniques for high resolution imaging. A high-speed image recording system has been used to observe a number of bright stars. The…

天体物理仪器与方法 · 物理学 2015-05-13 Andrew Smith , Jeremy Bailey , J. H. Hough , Steven Lee

In this paper we present the Adaptive Optics Lucky Imager (AOLI), a state-of-the-art instrument which makes use of two well proved techniques for extremely high spatial resolution with ground-based telescopes: Lucky Imaging (LI) and…

Here we present the Adaptive Optics Lucky Imager (AOLI), a state-of-the-art instrument which makes use of two well proved techniques, Lucky Imaging (LI) and Adaptive Optics (AO), to deliver diffraction limited imaging at visible…

In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long distance images by a factor of ten and beyond. Recent advances in ptychography have demonstrated…

计算机视觉与模式识别 · 计算机科学 2015-11-29 Jason Holloway , M. Salman Asif , Manoj Kumar Sharma , Nathan Matsuda , Roarke Horstmeyer , Oliver Cossairt , Ashok Veeraraghavan
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