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Journal articles on the topic 'Gigapixel'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Brady, D. J., M. E. Gehm, R. A. Stack, et al. "Multiscale gigapixel photography." Nature 486, no. 7403 (2012): 386–89. http://dx.doi.org/10.1038/nature11150.

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2

Orth, Antony, Monica Jo Tomaszewski, Richik N. Ghosh, and Ethan Schonbrun. "Gigapixel multispectral microscopy." Optica 2, no. 7 (2015): 654. http://dx.doi.org/10.1364/optica.2.000654.

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3

He, Mingming, Jing Liao, Pedro V. Sander, and Hugues Hoppe. "Gigapixel Panorama Video Loops." ACM Transactions on Graphics 37, no. 1 (2018): 1–15. http://dx.doi.org/10.1145/3144455.

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4

Papadopoulos, Charilaos, and Arie E. Kaufman. "Acuity-Driven Gigapixel Visualization." IEEE Transactions on Visualization and Computer Graphics 19, no. 12 (2013): 2886–95. http://dx.doi.org/10.1109/tvcg.2013.127.

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5

Ao, Mengxing, and Ying-Qing Xu. "Epistemic Ecology: An Artwork of Gigapixel Imagery and Ideas." Leonardo 52, no. 2 (2019): 175–76. http://dx.doi.org/10.1162/leon_a_01686.

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Gigapixel imaging provides a new perspective from which to explore the world from micro to macro. In this work, we created an aesthetically oriented gigapixel image named Epistemic Ecology. It combines ocean creatures with handicrafts and visualized abstract theories, showing a different way to see our world at the visceral level, the behavioral level and the reflective level. It provides a different perspective to extend possibilities of interacting, understanding and using big data.

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6

Cabezos-Bernal, Pedro M., Pablo Rodriguez-Navarro, and Teresa Gil-Piqueras. "Documenting Paintings with Gigapixel Photography." Journal of Imaging 7, no. 8 (2021): 156. http://dx.doi.org/10.3390/jimaging7080156.

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Digital photographic capture of pictorial artworks with gigapixel resolution (around 1000 megapixels or greater) is a novel technique that is beginning to be used by some important international museums as a means of documentation, analysis, and dissemination of their masterpieces. This line of research is extremely interesting, not only for art curators and scholars but also for the general public. The results can be disseminated through online virtual museum displays, offering a detailed interactive visualization. These virtual visualizations allow the viewer to delve into the artwork in suc

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7

Philip, Sujin, Brian Summa, Julien Tierny, Peer-Timo Bremer, and Valerio Pascucci. "Distributed Seams for Gigapixel Panoramas." IEEE Transactions on Visualization and Computer Graphics 21, no. 3 (2015): 350–62. http://dx.doi.org/10.1109/tvcg.2014.2366128.

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8

Kopf, Johannes, Matt Uyttendaele, Oliver Deussen, and Michael F. Cohen. "Capturing and viewing gigapixel images." ACM Transactions on Graphics 26, no. 3 (2007): 93. http://dx.doi.org/10.1145/1276377.1276494.

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9

Marks, Daniel L., Lauren M. Bange, and David J. Brady. "Feedback stitching for gigapixel video." Journal of Electronic Imaging 24, no. 6 (2015): 063006. http://dx.doi.org/10.1117/1.jei.24.6.063006.

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10

Takeichi, Y., Y. Ito, Y. Niwa, M. Kimura, and K. Ono. "Development of gigapixel imaging XAFS." Acta Crystallographica Section A Foundations and Advances 79, a2 (2023): C1366. http://dx.doi.org/10.1107/s2053273323082554.

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11

Cabezos-Bernal, P. M., P. Rodriguez-Navarro, and T. Gil-Piqueras. "DOCUMENTING PAINTINGS USING GIGAPIXEL SFM PHOTOGRAMMETRY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-1-2021 (August 28, 2021): 93–100. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-1-2021-93-2021.

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Abstract. Capturing paintings with gigapixel resolution (resolution around 1000 megapixels or greater) is an innovative technique that is starting to be used by some important international museums for documenting, analysing, and disseminating their masterpieces.This line of research is extremely interesting, not only for art curators and scholars, but also for the general public. The results can be disseminated through online virtual tours, offering a detailed interactive visualization. These virtual tours allow the viewer to delve into the artwork, in such a way, that it is possible to zoom

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12

Marks, Daniel L., Hui S. Son, Jungsang Kim, and David J. Brady. "Engineering a gigapixel monocentric multiscale camera." Optical Engineering 51, no. 8 (2012): 083202–1. http://dx.doi.org/10.1117/1.oe.51.8.083202.

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13

Nakamura, Tomoya, David S. Kittle, Seo Ho Youn, Steven D. Feller, Jun Tanida, and David J. Brady. "Autofocus for a multiscale gigapixel camera." Applied Optics 52, no. 33 (2013): 8146. http://dx.doi.org/10.1364/ao.52.008146.

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14

Gatenbee, Chandler Dean, Ann-Marie Baker, Sandhya Prabhakaran, Mark Robertson-Tessi, Trevor Graham, and Alexander R. Anderson. "Abstract 2078: VALIS: Virtual Alignment of pathoLogy Image Series for multi-gigapixel whole slide images." Cancer Research 83, no. 7_Supplement (2023): 2078. http://dx.doi.org/10.1158/1538-7445.am2023-2078.

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Abstract Interest in spatial omics is on the rise, but generation of highly multiplexed images used in many spatial analyses remains challenging, due to cost, expertise, methodical constraints, and/or access to technology. An alternative to performing highly multiplexed staining is to register collections of whole slide images (WSI), creating a collection of aligned images that can undergo spatial analyses. However, registration of WSI is two part problem, with the first being the alignment itself, and the second being the application of the transformations to huge multi-gigapixel images. To a

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15

Romeo, Saverio, Lucio Di Matteo, Daniel Kieffer, Grazia Tosi, Aurelio Stoppini, and Fabio Radicioni. "The Use of Gigapixel Photogrammetry for the Understanding of Landslide Processes in Alpine Terrain." Geosciences 9, no. 2 (2019): 99. http://dx.doi.org/10.3390/geosciences9020099.

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The work in this paper illustrates an experimental application for geosciences by coupling new and low cost photogrammetric techniques: Gigapixel and Structure-from-Motion (SfM). Gigapixel photography is a digital image composed of billions of pixels (≥1000 megapixels) obtained from a conventional Digital single-lens reflex camera (DSLR), whereas the SfM technique obtains three-dimensional (3D) information from two-dimensional (2D) image sequences. The field test was carried out at the Ingelsberg slope (Bad Hofgastein, Austria), which hosts one of the most dangerous landslides in the Salzburg

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16

Papadopoulos, Charilaos, Kaloian Petkov, Arie E. Kaufman, and Klaus Mueller. "The Reality Deck--an Immersive Gigapixel Display." IEEE Computer Graphics and Applications 35, no. 1 (2015): 33–45. http://dx.doi.org/10.1109/mcg.2014.80.

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17

McConnell, Gail. "Video-rate gigapixel imaging of the brain." Nature Photonics 13, no. 11 (2019): 732–34. http://dx.doi.org/10.1038/s41566-019-0542-z.

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18

Zheng, Guoan, Xiaoze Ou, and Changhuei Yang. "05 gigapixel microscopy using a flatbed scanner." Biomedical Optics Express 5, no. 1 (2013): 1. http://dx.doi.org/10.1364/boe.5.000001.

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19

Marks, Daniel L., David S. Kittle, Hui S. Son, et al. "Gigapixel Imaging with the AWARE Multiscale Camera." Optics and Photonics News 23, no. 12 (2012): 31. http://dx.doi.org/10.1364/opn.23.12.000031.

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20

Heymsfield, Ernest, and Mark L. Kuss. "Implementing Gigapixel Technology in Highway Bridge Inspections." Journal of Performance of Constructed Facilities 29, no. 3 (2015): 04014074. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000561.

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21

Marks, Daniel L., Eric J. Tremblay, Joseph E. Ford, and David J. Brady. "Microcamera aperture scale in monocentric gigapixel cameras." Applied Optics 50, no. 30 (2011): 5824. http://dx.doi.org/10.1364/ao.50.005824.

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22

Son, Hui S., Adam Johnson, Ronald A. Stack, et al. "Optomechanical design of multiscale gigapixel digital camera." Applied Optics 52, no. 8 (2013): 1541. http://dx.doi.org/10.1364/ao.52.001541.

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23

Albers, Kate Palmer. "Unseen Images: Gigapixel photography and its viewers." Photographies 7, no. 1 (2014): 11–22. http://dx.doi.org/10.1080/17540763.2014.895128.

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24

Tang, Kunming, Zhiguo Jiang, Jun Shi, Wei Wang, Haibo Wu, and Yushan Zheng. "Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 7 (2025): 7247–56. https://doi.org/10.1609/aaai.v39i7.32779.

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Gigapixel image analysis, particularly for whole slide images (WSIs), often relies on multiple instance learning (MIL). Under the paradigm of MIL, patch image representations are extracted and then fixed during the training of the MIL classifiers for efficiency consideration. However, the invariance of representations makes it difficult to perform data augmentation for WSI-level model training, which significantly limits the performance of the downstream WSI analysis. The current data augmentation methods for gigapixel images either introduce additional computational costs or result in a loss

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25

Ben-Ezra, M. "A Digital Gigapixel Large-Format Tile-Scan Camera." IEEE Computer Graphics and Applications 31, no. 1 (2011): 49–61. http://dx.doi.org/10.1109/mcg.2011.1.

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26

Tellez, David, Geert Litjens, Jeroen van der Laak, and Francesco Ciompi. "Neural Image Compression for Gigapixel Histopathology Image Analysis." IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 2 (2021): 567–78. http://dx.doi.org/10.1109/tpami.2019.2936841.

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27

Zheng, Guoan, Xiaoze Ou, Roarke Horstmeyer, Jaebum Chung, and Changhuei Yang. "Fourier Ptychographic Microscopy: A Gigapixel Superscope for Biomedicine." Optics and Photonics News 25, no. 4 (2014): 26. http://dx.doi.org/10.1364/opn.25.4.000026.

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28

Ou, Xiaoze, Guoan Zheng, and Changhuei Yang. "05 gigapixel microscopy using a flatbed scanner: erratum." Biomedical Optics Express 7, no. 2 (2016): 646. http://dx.doi.org/10.1364/boe.7.000646.

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29

Ruddle, Roy A., and David J. Duke. "Research into Navigation, Collaborative Interaction, and Gigapixel Displays." Journal on Interactive Systems 2, no. 2 (2011): 1. http://dx.doi.org/10.5753/jis.2011.586.

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Research by the Visualization & Virtual Reality Research Group (School of Computing, University of Leeds, UK) includes themes that focus on navigation, collaborative interaction, and gigapixel displays. The group also carries out research into visualization techniques and systems, including new systems technologies for visualization, and tools for investigating features within large datasets. This article summarizes that research and describes current projects that are taking place: Virtual trails to aid real-world navigation, Mobile geophysics, Communication breakdown in collaborative VR,

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30

Jäger, Mathias, and Lars Lindberg Christensen. "Ten Challenges of Producing an Astronomical Gigapixel Image." Communicating Astronomy with the Public Journal 9, no. 1 (2015): 29–35. https://doi.org/10.5281/zenodo.14959060.

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Public outreach involves developing new methods, testing new technologies and integrating new ideas. Sometimes, the craft of outreach even leads into completely unknown territory. This is the story of a project that led into astronomical and technological terra incognita. It is about the production of a mosaic of the central parts of the Milky Way made with ESO’s VISTA telescope as part of the VVV survey. The outreach system at ESO was tested to its limits, and beyond, by the production of what is still likely to be the largest astronomical image in the world. Several significant challen

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31

Zhang, Shuhang, Chun Liu, and Yuan Zhou. "UAV-Based Gigapixel Panoramic Image Acquisition Planning with Ray Casting-Based Overlap Constraints." Journal of Sensors 2019 (May 2, 2019): 1–9. http://dx.doi.org/10.1155/2019/4845104.

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Panoramic imaging is information-rich, low-cost, and effective. In panoramic image acquisition, unmanned aerial vehicles (UAVs) have a natural advantage that owes to their flexibility and relatively large observation ranges. Using a panoramic gimbal and a single camera may be the most common means of capturing gigapixel panoramas. In order to manage the constraints of UAV power and facilitate the use of a variety of camera lenses, an effective and flexible method for planning UAV gigapixel panorama acquisitions is required. To address this need, a panoramic image acquisition planning method is

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32

Chen, Kai, Zerun Wang, Xueyang Wang, et al. "Towards real-time object detection in GigaPixel-level video." Neurocomputing 477 (March 2022): 14–24. http://dx.doi.org/10.1016/j.neucom.2021.12.049.

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33

Brancati, Nadia, Giuseppe De Pietro, Daniel Riccio, and Maria Frucci. "Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks." IEEE Access 9 (2021): 87552–62. http://dx.doi.org/10.1109/access.2021.3086892.

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34

Moon, Hee jun, and Cheon-Seog Rim. "Designing the Optical Structure of a Multiscale Gigapixel Camera." Korean Journal of Optics and Photonics 27, no. 1 (2016): 25–31. http://dx.doi.org/10.3807/kjop.2016.27.1.025.

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35

Heymsfield, Ernie, and Mark L. Kuss. "Supplementing Current Visual Highway Bridge Inspections with Gigapixel Technology." Journal of Performance of Constructed Facilities 30, no. 2 (2016): 04015015. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000757.

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36

Gong, Qian, Esteban Vera, Dathon R. Golish, Steven D. Feller, David J. Brady, and Michael E. Gehm. "Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU." IEEE Transactions on Computational Imaging 3, no. 3 (2017): 493–502. http://dx.doi.org/10.1109/tci.2016.2612942.

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37

Orth, Antony, and Kenneth Crozier. "Gigapixel fluorescence microscopy with a water immersion microlens array." Optics Express 21, no. 2 (2013): 2361. http://dx.doi.org/10.1364/oe.21.002361.

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38

Marée, Raphaël, Loïc Rollus, Benjamin Stévens, et al. "Collaborative analysis of multi-gigapixel imaging data using Cytomine." Bioinformatics 32, no. 9 (2016): 1395–401. http://dx.doi.org/10.1093/bioinformatics/btw013.

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39

Liu, Chenglong, Haoran Wei, Jinze Yang, et al. "GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (2024): 10092–100. http://dx.doi.org/10.1609/aaai.v38i9.28873.

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Performing person detection in super-high-resolution images has been a challenging task. For such a task, modern detectors, which usually encode a box using center and width/height, struggle with accuracy due to two factors: 1) Human characteristic: people come in various postures and the center with high freedom is difficult to capture robust visual pattern; 2) Image characteristic: due to vast scale diversity of input (gigapixel-level), distance regression (for width and height) is hard to pinpoint, especially for a person, with substantial scale, who is near the camera. To address these cha

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40

Lu, Ming Y., Richard J. Chen, Dehan Kong, et al. "Federated learning for computational pathology on gigapixel whole slide images." Medical Image Analysis 76 (February 2022): 102298. http://dx.doi.org/10.1016/j.media.2021.102298.

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41

Kittle, David S., Daniel L. Marks, Hui S. Son, Jungsang Kim, and David J. Brady. "A testbed for wide-field, high-resolution, gigapixel-class cameras." Review of Scientific Instruments 84, no. 5 (2013): 053107. http://dx.doi.org/10.1063/1.4804199.

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42

Lotz, J., J. Olesch, B. Muller, et al. "Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images." IEEE Transactions on Biomedical Engineering 63, no. 9 (2016): 1812–19. http://dx.doi.org/10.1109/tbme.2015.2503122.

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43

WANG Xin-hua, 王新华, and 王晓坤 WANG Xiao-kun. "Real time image mosaic of the transient gigapixel imaging system." Chinese Optics 8, no. 5 (2015): 785–93. http://dx.doi.org/10.3788/co.20150805.0785.

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44

Rim, Cheon-Seog. "Optical Structural Design using Gaussian Optics for Multiscale Gigapixel Camera." Korean Journal of Optics and Photonics 24, no. 6 (2013): 311–17. http://dx.doi.org/10.3807/kjop.2013.24.6.311.

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45

Mo, Wanghao, Wendong Zhang, Hongyang Wei, Ruyi Cao, Yan Ke, and Yiwen Luo. "PVDet: Towards pedestrian and vehicle detection on gigapixel-level images." Engineering Applications of Artificial Intelligence 118 (February 2023): 105705. http://dx.doi.org/10.1016/j.engappai.2022.105705.

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46

Choi, Yeon Chan, Hee Jun Moon, Dong Young Kim, Jae Yun Ryu, Ye Rang Shin, and Cheon-Seog Rim. "The Study of Gigapixel Camera Technology and the Stunning High-Resolution Gigapixel Image Created by Utilizing a Robotic Panoramic Head and an Image-Stitching Technique." Korean Journal of Optics and Photonics 26, no. 1 (2015): 44–53. http://dx.doi.org/10.3807/kjop.2015.26.1.044.

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47

Zhou, Kevin C., Tomas Aidukas, Lars Loetgering, Felix Wechsler, and Roarke Horstmeyer. "Introduction to Fourier Ptychography: Part I." Microscopy Today 30, no. 3 (2022): 36–41. http://dx.doi.org/10.1017/s1551929522000670.

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Abstract:Fourier ptychography is an emerging computational microscopy technique that can generate gigapixel-scale images of biological samples. With only the addition of a low-cost LED array to a standard digital microscope and a reconstruction algorithm, Fourier ptychography overcomes the fundamental trade-off between a microscope's resolution and field-of-view without any moving parts. This article is the first in a three-part series that aims to introduce the fundamentals of the technology to the broader microscopy community and beyond, using intuitive explanations.

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48

Youn, Seo Ho, Hui S. Son, Daniel L. Marks, et al. "Optical performance test and validation of microcameras in multiscale, gigapixel imagers." Optics Express 22, no. 3 (2014): 3712. http://dx.doi.org/10.1364/oe.22.003712.

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49

Law, Nicholas M., Octavi Fors, Jeffrey Ratzloff, et al. "Evryscope Science: Exploring the Potential of All-Sky Gigapixel-Scale Telescopes." Publications of the Astronomical Society of the Pacific 127, no. 949 (2015): 234–49. http://dx.doi.org/10.1086/680521.

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50

Gadermayr, Michael, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, and Dorit Merhof. "CNN cascades for segmenting sparse objects in gigapixel whole slide images." Computerized Medical Imaging and Graphics 71 (January 2019): 40–48. http://dx.doi.org/10.1016/j.compmedimag.2018.11.002.

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