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Image based modeling and laser scanning are two commonly used approaches in large-scale architectural scene reconstruction nowadays. In order to generate a complete scene reconstruction, an effective way is to completely cover the scene…

Computer Vision and Pattern Recognition · Computer Science 2019-09-19 Xiang Gao , Shuhan Shen , Lingjie Zhu , Tianxin Shi , Zhiheng Wang , Zhanyi Hu

We describe a flagging and calibration pipeline intended for making quick look images from GMRT data. The package identifies and flags corrupted visibilities, computes calibration solutions and interpolates these onto the target source.…

Instrumentation and Methods for Astrophysics · Physics 2012-03-20 Jayanti Prasad , Jayaram Chengalur

We developed a high-speed image reduction pipeline using Graphics Processing Units (GPUs) as hardware accelerators. Astronomers desire detecting EM counterpart of gravitational-wave sources as soon as possible for sharing positional…

Instrumentation and Methods for Astrophysics · Physics 2020-10-14 Masafumi Niwano , Katsuhiro L. Murata , Ryo Adachi , Sili Wang , Yutaro Tachibana , Youichi Yatsu , Nobuyuki Kawai , Takashi Shimokawabe , Ryousuke Itoh

A fast-turnaround pipeline for realtime data reduction plays an essential role in discovering and permitting follow-up observations to young supernovae and fast-evolving transients in modern time-domain surveys. In this paper, we present…

Instrumentation and Methods for Astrophysics · Physics 2016-10-05 Yi Cao , Peter E Nugent , Mansi M Kasliwal

A Silicon Photomultiplier, SiPM, is a metasystem of Avalanche Photodiodes, APDs, which embedded in a specific purpose electronic, becomes a metadevice with unique and useful advanced functionalities to capture, transmit and analyze…

Instrumentation and Detectors · Physics 2015-12-09 R. M. Gutierrez , A. I. Hernandez , L. F. Castaneda , J. F. Castano

This paper describes the VIS Processing Function (VIS PF) of the Euclid ground segment pipeline, which processes and calibrates raw data from the VIS camera. We present the algorithms used in each processing element, along with a…

Instrumentation and Methods for Astrophysics · Physics 2025-12-12 Euclid Collaboration , H. J. McCracken , K. Benson , C. Dolding , T. Flanet , C. Grenet , O. Herent , P. Hudelot , C. Laigle , G. Leroy , P. Liebing , R. Massey , S. Mottet , R. Nakajima , H. N. Nguyen-Kim , J. W. Nightingale , J. Skottfelt , L. C. Smith , F. Soldano , E. Vilenius , M. Wander , M. von Wietersheim-Kramsta , M. Akhlaghi , H. Aussel , S. Awan , R. Azzollini , A. Basset , G. P. Candini , P. Casenove , M. Cropper , H. Hoekstra , H. Israel , A. Khalil , K. Kuijken , Y. Mellier , L. Miller , S. -M. Niemi , M. J. Page , K. Paterson , M. Schirmer , N. A. Walton , A. Zacchei , J. P. L. G. Barrios , T. Erben , R. Hayes , J. A. Kegerreis , D. J. Lagattuta , A. Lançon , N. Aghanim , B. Altieri , A. Amara , S. Andreon , P. N. Appleton , N. Auricchio , C. Baccigalupi , M. Baldi , A. Balestra , S. Bardelli , P. Battaglia , A. N. Belikov , R. Bender , F. Bernardeau , A. Biviano , A. Bonchi , E. Branchini , M. Brescia , J. Brinchmann , S. Camera , G. Cañas-Herrera , V. Capobianco , C. Carbone , J. Carretero , S. Casas , F. J. Castander , M. Castellano , G. Castignani , S. Cavuoti , K. C. Chambers , A. Cimatti , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , F. Courbin , H. M. Courtois , A. Da Silva , R. da Silva , H. Degaudenzi , G. De Lucia , A. M. Di Giorgio , J. Dinis , H. Dole , F. Dubath , X. Dupac , S. Dusini , A. Ealet , S. Escoffier , M. Fabricius , M. Farina , R. Farinelli , S. Ferriol , F. Finelli , P. Fosalba , S. Fotopoulou , N. Fourmanoit , M. Frailis , E. Franceschi , S. Galeotta , K. George , W. Gillard , B. Gillis , C. Giocoli , P. Gómez-Alvarez , J. Gracia-Carpio , B. R. Granett , A. Grazian , F. Grupp , L. Guzzo , M. Hailey , S. V. H. Haugan , J. Hoar , W. Holmes , F. Hormuth , A. Hornstrup , K. Jahnke , M. Jhabvala , B. Joachimi , E. Keihänen , S. Kermiche , A. Kiessling , M. Kilbinger , B. Kubik , M. Kümmel , M. Kunz , H. Kurki-Suonio , Q. Le Boulc'h , A. M. C. Le Brun , D. Le Mignant , S. Ligori , P. B. Lilje , V. Lindholm , I. Lloro , G. Mainetti , D. Maino , E. Maiorano , O. Mansutti , S. Marcin , O. Marggraf , M. Martinelli , N. Martinet , F. Marulli , D. C. Masters , S. Maurogordato , E. Medinaceli , S. Mei , M. Melchior , M. Meneghetti , E. Merlin , G. Meylan , A. Mora , M. Moresco , L. Moscardini , C. Neissner , R. C. Nichol , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , W. J. Percival , V. Pettorino , S. Pires , G. Polenta , M. Poncet , L. A. Popa , L. Pozzetti , G. D. Racca , F. Raison , R. Rebolo , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , E. Rossetti , B. Rusholme , R. Saglia , Z. Sakr , A. G. Sánchez , D. Sapone , B. Sartoris , J. A. Schewtschenko , P. Schneider , T. Schrabback , A. Secroun , G. Seidel , M. Seiffert , S. Serrano , P. Simon , C. Sirignano , G. Sirri , A. Spurio Mancini , L. Stanco , J. Steinwagner , P. Tallada-Crespí , D. Tavagnacco , A. N. Taylor , H. I. Teplitz , I. Tereno , N. Tessore , S. Toft , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , E. A. Valentijn , L. Valenziano , J. Valiviita , T. Vassallo , G. Verdoes Kleijn , A. Veropalumbo , Y. Wang , J. Weller , G. Zamorani , F. M. Zerbi , I. A. Zinchenko , E. Zucca , V. Allevato , M. Ballardini , M. Bolzonella , E. Bozzo , C. Burigana , R. Cabanac , M. Calabrese , A. Cappi , D. Di Ferdinando , J. A. Escartin Vigo , G. Fabbian , L. Gabarra , M. Huertas-Company , J. Martín-Fleitas , S. Matthew , N. Mauri , R. B. Metcalf , A. Pezzotta , M. Pöntinen , C. Porciani , I. Risso , V. Scottez , M. Sereno , M. Tenti , M. Viel , M. Wiesmann , Y. Akrami , I. T. Andika , S. Anselmi , M. Archidiacono , F. Atrio-Barandela , C. Benoist , P. Bergamini , D. Bertacca , M. Bethermin , L. Bisigello , A. Blanchard , L. Blot , S. Borgani , A. S. Borlaff , M. L. Brown , S. Bruton , A. Calabro , B. Camacho Quevedo , F. Caro , C. S. Carvalho , T. Castro , F. Cogato , S. Conseil , A. R. Cooray , O. Cucciati , S. Davini , F. De Paolis , G. Desprez , A. Díaz-Sánchez , J. J. Diaz , S. Di Domizio , J. M. Diego , P. -A. Duc , A. Enia , Y. Fang , A. M. N. Ferguson , A. G. Ferrari , A. Finoguenov , A. Fontana , A. Franco , K. Ganga , J. García-Bellido , T. Gasparetto , V. Gautard , E. Gaztanaga , F. Giacomini , F. Gianotti , A. H. Gonzalez , G. Gozaliasl , A. Gregorio , M. Guidi , C. M. Gutierrez , A. Hall , W. G. Hartley , C. Hernández-Monteagudo , H. Hildebrandt , J. Hjorth , J. J. E. Kajava , Y. Kang , V. Kansal , D. Karagiannis , K. Kiiveri , C. C. Kirkpatrick , S. Kruk , J. Le Graet , L. Legrand , M. Lembo , F. Lepori , G. F. Lesci , J. Lesgourgues , L. Leuzzi , T. I. Liaudat , S. J. Liu , A. Loureiro , J. Macias-Perez , G. Maggio , M. Magliocchetti , F. Mannucci , R. Maoli , C. J. A. P. Martins , L. Maurin , C. J. R. McPartland , M. Miluzio , P. Monaco , A. Montoro , C. Moretti , G. Morgante , C. Murray , S. Nadathur , K. Naidoo , A. Navarro-Alsina , S. Nesseris , F. Passalacqua , L. Patrizii , A. Pisani , D. Potter , S. Quai , M. Radovich , P. Reimberg , P. -F. Rocci , G. Rodighiero , R. P. Rollins , S. Sacquegna , M. Sahlén , D. B. Sanders , E. Sarpa , C. Scarlata , A. Schneider , M. Schultheis , D. Sciotti , E. Sellentin , F. Shankar , A. Silvestri , K. Tanidis , C. Tao , G. Testera , M. Tewes , R. Teyssier , S. Tosi , A. Troja , M. Tucci , C. Valieri , A. Venhola , D. Vergani , G. Verza , P. Vielzeuf , J. R. Weaver , D. Scott

Proper quality control (QC) is time consuming when working with large-scale medical imaging datasets, yet necessary, as poor-quality data can lead to erroneous conclusions or poorly trained machine learning models. Most efforts to reduce…

We have built a reliable and robust system that takes as input an astronomical image, and returns as output the pointing, scale, and orientation of that image (the astrometric calibration or WCS information). The system requires no first…

Instrumentation and Methods for Astrophysics · Physics 2014-11-20 Dustin Lang , David W. Hogg , Keir Mierle , Michael Blanton , Sam Roweis

The Subaru Strategic Program (SSP) is an ambitious multi-band survey using the Hyper Suprime-Cam (HSC) on the Subaru telescope. The Wide layer of the SSP is both wide and deep, reaching a detection limit of i~26.0 mag. At these depths, it…

High dynamic range (HDR) imaging combines multiple images with different exposure times into a single high-quality image. The image signal processing pipeline (ISP) is a core component in digital cameras to perform these operations. It…

Image and Video Processing · Electrical Eng. & Systems 2021-10-05 Prashant Chaudhari , Franziska Schirrmacher , Andreas Maier , Christian Riess , Thomas Köhler

This book chapter reviews progress in crystallographic image processing (CIP) for scanning probe microscopy (SPM) that has occurred since our description of the technique was first put into open access in this book series in the year 2010.…

Materials Science · Physics 2020-12-02 Peter Moeck

The measurement of type Ia supernovae magnitudes provides cosmological distances, which can be used to constrain dark energy parameters. Large photometric surveys require a substantial improvement in the calibration precision of their…

We have created a new image analysis pipeline to reprocess images taken by the Near Earth Asteroid Tracking survey and have applied it to ten nights of observations. This work is the first large-scale reprocessing of images from an asteroid…

We present a new spectroscopic pipeline designed to analyse large numbers of hot massive stars homogeneously. The pipeline has been developed to utilise large grids of FASTWIND non-LTE, line blanketed models in which spherical geometry is…

Solar and Stellar Astrophysics · Physics 2025-10-31 PA Crowther , JM Bestenlehner

The world astronomical image archives represent huge opportunities to time-domain astronomy sciences and other hot topics such as space defense, and astronomical observatories should improve this wealth and make it more accessible in the…

Instrumentation and Methods for Astrophysics · Physics 2019-12-18 Ovidiu Vaduvescu , Lucian Curelaru , Marcel Popescu

The growing volume of digital images necessitates advanced systems for efficient categorization and retrieval, presenting a significant challenge in database management and information retrieval. This paper introduces PICS (Pipeline for…

Computer Vision and Pattern Recognition · Computer Science 2024-02-16 Grant Rosario , David Noever

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,…

We describe a new polarized imaging pipeline implemented in the FHD software package. The pipeline is based on the optimal mapmaking imaging approach and performs horizon-to-horizon image reconstruction in all polarization modes. We discuss…

Instrumentation and Methods for Astrophysics · Physics 2022-05-19 Ruby Byrne , Miguel F. Morales , Bryna Hazelton , Ian Sullivan , Nichole Barry

Typical Structure-from-Motion (SfM) pipelines rely on finding correspondences across images, recovering the projective structure of the observed scene and upgrading it to a metric frame using camera self-calibration constraints. Solving…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Rui Gong , Danda Pani Paudel , Ajad Chhatkuli , Luc Van Gool