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Observations performed by INTEGRAL are typically subdivided in kilo-seconds individual pointings. A mosaic software has been developed at the Danish Space Research Institute to combine sky images from different pointings with significantly…

Astrophysics · Physics 2007-05-23 J. Chenevez , N. Lund , N. J. Westergaard , C. Budtz-Joergensen , P. Kretschmar , R. Walter

We present TXPipe, a modular, automated and reproducible pipeline for ingesting catalog data and performing all the calculations required to obtain quality-assured two-point measurements of lensing and clustering, and their covariances,…

Astronomical images are essential for exploring and understanding the universe. Optical telescopes capable of deep observations, such as the Hubble Space Telescope, are heavily oversubscribed in the Astronomical Community. Images also often…

Instrumentation and Methods for Astrophysics · Physics 2020-11-25 Antonia Vojtekova , Maggie Lieu , Ivan Valtchanov , Bruno Altieri , Lyndsay Old , Qifeng Chen , Filip Hroch

The software package aXe provides comprehensive spectral extraction facilities for all the slitless modes of the ACS, covering the Wide Field Channel (WFC) grism, the High Resolution Channel (HRC) grism and prism and the Solar Blind Channel…

Astrophysics · Physics 2007-05-23 J. R. Walsh , M. Kuemmel , S. S. Larsen

We present PAPERCLIP (Proposal Abstracts Provide an Effective Representation for Contrastive Language-Image Pre-training), a method which associates astronomical observations imaged by telescopes with natural language using a neural network…

Instrumentation and Methods for Astrophysics · Physics 2024-03-15 Siddharth Mishra-Sharma , Yiding Song , Jesse Thaler

We report an improved technique for diffuse foreground minimization from Cosmic Microwave Background (CMB) maps using a new multi-phase iterative internal-linear-combination (ILC) approach in harmonic space. The new procedure consists of…

Cosmology and Nongalactic Astrophysics · Physics 2017-09-18 Vipin Sudevan , Pavan K. Aluri , Sarvesh Kumar Yadav , Rajib Saha , Tarun Souradeep

Many robotics applications require alignment and fusion of observations obtained at multiple views to form a global model of the environment. Multi-way data association methods provide a mechanism to improve alignment accuracy of pairwise…

Robotics · Computer Science 2020-03-06 Kaveh Fathian , Kasra Khosoussi , Yulun Tian , Parker Lusk , Jonathan P. How

Existing vision-text contrastive learning models enhance representation transferability and support zero-shot prediction by matching paired image and caption embeddings while pushing unrelated pairs apart. However, astronomical image-label…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Raza Imam , Mohammed Talha Alam , Umaima Rahman , Mohsen Guizani , Fakhri Karray

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…

Computer Vision and Pattern Recognition · Computer Science 2023-03-17 Zheyan Jin , Shiqi Chen , Huajun Feng , Zhihai Xu , Qi Li , Yueting Chen

We present new Spitzer Infrared Array Camera (IRAC) 3.6 and 4.5{\mu}m mosaics of three fields, E-COSMOS, DEEP2-F3, and ELAIS-N1. Our mosaics include both new IRAC observations as well as re-processed archival data in these fields. These…

In recent years, image blending has gained popularity for its ability to create visually stunning content. However, the current image blending algorithms mainly have the following problems: manually creating image blending masks requires a…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Haochen Xue , Mingyu Jin , Chong Zhang , Yuxuan Huang , Qian Weng , Xiaobo Jin

Model driven single image dehazing was widely studied on top of different priors due to its extensive applications. Ambiguity between object radiance and haze and noise amplification in sky regions are two inherent problems of model driven…

Computer Vision and Pattern Recognition · Computer Science 2021-11-24 Zhengguo Li , Haiyan Shu , Chaobing Zheng

The role of major mergers in galaxy evolution remains a key open question. Existing empirical merger identification methods use non-parametric and subjective visual classifications which can pose systematic challenges to constraining merger…

JScanam is the default map-maker for Herschel/PACS photometer observations. Making use of the redundant information from multiple passages on the sky with different scanning directions, JScanam is able to remove the $1/f$ noise that…

Instrumentation and Methods for Astrophysics · Physics 2015-12-11 Javier Graciá-Carpio , Michael Wetzstein , Hélène Roussel

In this paper, we address a novel image restoration problem relevant to machine learning dataset curation: the detection and removal of noisy mirrored padding artifacts. While data augmentation techniques like padding are necessary for…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Lucas Choi , Ross Greer

This paper introduces a novel approach to the fine alignment of images in a burst captured by a handheld camera. In contrast to traditional techniques that estimate two-dimensional transformations between frame pairs or rely on discrete…

Computer Vision and Pattern Recognition · Computer Science 2023-12-11 Bruno Lecouat , Yann Dubois de Mont-Marin , Théo Bodrito , Julien Mairal , Jean Ponce

We describe the reduction of data taken with the PACS instrument on board the Herschel Space Observatory in the Science Demonstration Phase of the Herschel-ATLAS (H-ATLAS) survey, specifically data obtained for a 4x4-deg^2 region using…

Using the ligthcone from the cosmological hydrodynamical simulation Horizon-AGN, we produced a photometric catalogue over $0<z<4$ with apparent magnitudes in COSMOS, DES, LSST-like, and Euclid-like filters at depths comparable to these…

Traditional dehazing techniques, as a well studied topic in image processing, are now widely used to eliminate the haze effects from individual images. However, even the state-of-the-art dehazing algorithms may not provide sufficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-12 Meihua Wang , Jiaming Mai , Yun Liang , Tom Z. J. Fu , Zhenjie Zhang , Ruichu Cai

We introduce a diffusion-based approach for generating privacy-preserving digital twins of multi-room indoor environments from depth images only. Central to our approach is a novel Multi-view Overlapped Scene Alignment with Implicit…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Zhixuan Liu , Haokun Zhu , Rui Chen , Jonathan Francis , Soonmin Hwang , Ji Zhang , Jean Oh
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