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Astronomical images are of crucial importance for astronomers since they contain a lot of information about celestial bodies that can not be directly accessible. Most of the information available for the analysis of these objects starts…

Numerical Analysis · Mathematics 2019-04-10 Silvia Tozza , Maurizio Falcone

An atlas of the Galactic plane (-4.7 deg < b < 4.7 deg) plus the molecular clouds in Orion, Rho Oph, and Taurus-Auriga has been produced at 60 and 100 micron from IRAS data. The Atlas consists of resolution-enhanced coadded images having 1…

Astrophysics · Physics 2010-01-07 Yu Cao , Susan Terebey , Thomas A. Prince , Charles A. Beichman

This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images. Using DOTA-v2.0 and GID-15 datasets, this…

X-ray single particle imaging involves the measurement of a large number of noisy diffraction patterns of isolated objects in random orientations. The missing information about these patterns is then computationally recovered in order to…

Image and Video Processing · Electrical Eng. & Systems 2020-05-25 Kartik Ayyer

Modern digital sky surveys have been acquiring images of billions of galaxies. While these images often provide sufficient details to analyze the shape of the galaxies, accurate analysis of such high volumes of images requires effective…

Astrophysics of Galaxies · Physics 2025-07-17 Sai Teja Erukude , Lior Shamir

We present a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral…

Image compositions are helpful in the study of image structures and assist in discovering the semantics of the underlying scene portrayed across art forms and styles. With the digitization of artworks in recent years, thousands of images of…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Prathmesh Madhu , Tilman Marquart , Ronak Kosti , Dirk Suckow , Peter Bell , Andreas Maier , Vincent Christlein

This paper describes a method for searching for common sets of descriptors between collections of images. The presented method operates on local interest keypoints, which are generated using the SURF algorithm. The use of a dictionary of…

Computer Vision and Pattern Recognition · Computer Science 2015-04-28 Patryk Najgebauer , Janusz Rygal , Tomasz Nowak , Jakub Romanowski , Leszek Rutkowski , Sviatoslav Voloshynovskiy , Rafal Scherer

Image quality assessment (IQA) is traditionally classified into full-reference (FR) IQA and no-reference (NR) IQA according to whether the original image is required. Although NR-IQA is widely used in practical applications, room for…

Computer Vision and Pattern Recognition · Computer Science 2016-09-05 Haoyi Liang , Daniel S. Weller

Imaging is an important means by which information is gathered regarding the physical world. Spatial resolution and signal-to-noise ratio are underpinning concepts. There is a paucity of rigorous definitions for these quantities, which are…

Optics · Physics 2019-09-27 David M. Paganin , Alexander Kozlov , Timur E. Gureyev

Single-pixel imaging (SPI) has a major drawback that many sequential illuminations are required for capturing one single image with long acquisition time. Basis illumination patterns such as Fourier patterns and Hadamard patterns can…

Image and Video Processing · Electrical Eng. & Systems 2020-01-20 Jun Feng , Shuming Jiao , Yang Gao , Ting Lei , Xiaocong Yuan

If you ask a human to describe an image, they might do so in a thousand different ways. Traditionally, image captioning models are trained to generate a single "best" (most like a reference) image caption. Unfortunately, doing so encourages…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 David M. Chan , Austin Myers , Sudheendra Vijayanarasimhan , David A. Ross , John Canny

Image aesthetic assessment (IAA) aims to predict the aesthetic quality of images as perceived by humans. While recent IAA models achieve strong predictive performance, they offer little insight into the factors driving their predictions.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Xiao-Chang Liu , Johan Wagemans

Most image retrieval methods use global features that aggregate local distinctive patterns into a single representation. However, the aggregation process destroys the relative spatial information by considering orderless sets of local…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Pierre Jacob , David Picard , Aymeric Histace , Edouard Klein

Resolution, usually defined by the Rayleigh criterion or the Full Width at Half Maximum of a Point Spread Function, is a basic property of an image. Here, we present a new statistical definition of image resolution based on the…

Instrumentation and Methods for Astrophysics · Physics 2015-10-29 Jian-Feng Zhou

Image matching is a fundamental problem in Computer Vision with direct applications in robotics, remote sensing, and geospatial data analysis. We present an analytical and experimental evaluation of classical local feature-based image…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Oleh Samoilenko

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…

Instrumentation and Methods for Astrophysics · Physics 2015-05-28 Barnaby Rowe , Christopher Hirata , Jason Rhodes

This paper introduces the concept of accessibility from the field of transportation planning and adopts it within the context of Information Retrieval (IR). An analogy is drawn between the fields, which motivates the development of document…

Information Retrieval · Computer Science 2024-04-15 Leif Azzopardi , Vishwa Vinay

Geospatial data come from various sources, such as satellites, aircraft, and LiDAR. The variability of the source is not limited to the types of data acquisition techniques, as we have maps from different time periods. To incorporate these…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Hae Jin Song , Patrycja Krawczuk , Po-Hsuan Huang