Academic literature on the topic 'Image processing Digital video'

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Journal articles on the topic "Image processing Digital video"

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Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.

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Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the vid
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Rodrigues Ferraz Izario, Daniel, Yuzo Iano, Bruno Rodrigues Ferraz Izario, and Diego Arturo Pajuelo Castro. "Technical review in digital image/video processing algorithms." SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING 2018, no. 1 (2018): 34–39. http://dx.doi.org/10.18580/setijbe.2018.4.

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Vucetic, C., D. Milovanovic, B. Dulic, I. Dimitrijevic, N. Kalezic, and G. Tulic. "Primena digitalne video tehnike u ortopediji." Acta chirurgica Iugoslavica 53, no. 4 (2006): 99–104. http://dx.doi.org/10.2298/aci0604099v.

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Digital video technologies are new and powerful tools with wide applications in orthopedic. Already integral to several common medical devices, digital images can be used for case documentation and presentation as well for diagnostic and surgical patient care information. Digital technologies allow easy manipulation of photographic, video and graphic materials in ways that were impossible with conventional techniques. Educational presentation has been transformed by use of computers and digital projectors. Understanding the basic foundations of digital imaging technology is important for effec
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Bright, David S. "Basic image processing for the microscopist." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (1992): 1786–87. http://dx.doi.org/10.1017/s0424820100133564.

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Images are a rich source of easily interpreted information. Equipment capable of handling pictures in computer memory (digital images) is now commonplace, and imaging is becoming an integral part of scientific computing and data analysis. Today, desk top computers are capable of displaying images with no special equipment at all. For example, NIH Image runs on a standard MAC II, and provides tools for contrast enhancement, pseudocolor, sharpening, animation, labeling and particle counting. Scanners or video cameras to input gray level (or color) images are moderately priced, and scanning micro
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Vijayaraghavan, P., M. Joe Nelson, R. Prasanna, and M. K. Raghavendran. "Surveillance Footage Video Tampering Detection." Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems 01, no. 01 (2020): 10–16. http://dx.doi.org/10.47812/ijamecs2010102.

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The quality of the captured images was enhanced by some of the first digital video and image processing applications, but as the power of computers expanded, so did the number of applications where video and image processing could make a difference. Video and image processing are used in many different applications nowadays. To provide authenticity to a video several video processing software’s are used. Video tampering detection is the one of the important Security applications. Video processing software is also used to eliminate specific moving foreground from a video. But algorithms which w
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Raschke, Scott A., Roman D. Hryciw, and Gregory W. Donohoe. "Microdeformations in Sands by Digital Image Processing and Analysis." Transportation Research Record: Journal of the Transportation Research Board 1548, no. 1 (1996): 31–37. http://dx.doi.org/10.1177/0361198196154800105.

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Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other small-scale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar vi
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Osten, Evariste F., and John C. Schultz. "A system for fast digital image processing of asynchronous SEM signals." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 676–77. http://dx.doi.org/10.1017/s0424820100105448.

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The time required to examine a specimen's features with an SEM before photographically recording representative images is related to the amount of visual information about that specimen that is available from the SEM's viewing CRT. In a laboratory that examines several thousand specimens each year, many in low signal-to-noise situations, the accumulated examination time can be significant. Image processing to increase the information content of the viewed image can reduce the time needed to examine the specimen. Digital frame integration can be used to improve an image's signal-to-noise ratio
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Xu, Yuanjin, and Xiaojun Liu. "Interactive Algorithms in Complex Image Processing Systems Based on Big Data." Complexity 2020 (May 5, 2020): 1–9. http://dx.doi.org/10.1155/2020/5929584.

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In the era of big data, images and videos are one of the main means of information dissemination. In recent years, research on the problem of image and video reorganization and integration has become a hot topic in digital image processing technology. Using a computer for image processing, complicated programming is unavoidable. Therefore, it is necessary to optimize the interactive algorithms for image processing. In this paper, the content of image processing experiment is screened and integrated, and an image processing experiment system based on Matlab GUI platform is established for diffe
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Chen, Zhi Peng, Tian Liang, Jian Wang, Wen Chao Qin, and Tian Guan. "A General Identification Process of Moving Cells Based on MATLAB." Applied Mechanics and Materials 427-429 (September 2013): 1981–86. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1981.

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This paper proposed and implemented a general identification process of videos containing moving target cells, using mature digital image processing technology and MATLAB simulation tools. The processing steps included video sub-framing, image reading, image preprocessing, target recognition, and etc. For videos containing moving target cells, three groups of experiments were tested to verify the feasibility of the processing algorithm. Results found that the algorithm could accurately identify the targets in the videos. Thus, the presented processing algorithm is acceptable to be a general id
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Fan, Yong Jie, and Hua Chen. "General Digital Image Processing Circuit and its Applications." Advanced Materials Research 981 (July 2014): 299–303. http://dx.doi.org/10.4028/www.scientific.net/amr.981.299.

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In this paper, the design and architecture of general digital image processing circuit (GFDIPC) based on a Xilinx Virtex-5 FPGA processor is presented. The GFDIPC applications on thermal imaging, image fusion, real-time video stabilization and time-delay test for image processing system are described. The design of FPGA in each application follows the principle of functional modularity, pipeline processing and parallel computing, which brings FPGA high efficiency and high real-time performance.
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Dissertations / Theses on the topic "Image processing Digital video"

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Tsoi, Yau Chat. "Video cosmetics : digital removal of blemishes from video /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20TSOI.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 83-86). Also available in electronic version. Access restricted to campus users.
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Hu, Yongtao, and 胡永涛. "Multimodal speaker localization and identification for video processing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/212633.

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Hamed, Mahmoud S. "Film and video restoration using nonlinear digital image processing techniques." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400321.

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Grundmann, Matthias. "Real-time content aware resizing of video." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26622.

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Thesis (M. S.)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Essa, Irfan; Committee Member: Dellaert, Frank; Committee Member: Turk, Greg. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Kang, Jung Won. "Effective temporal video segmentation and content-based audio-visual video clustering." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/13731.

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Akhlaghian, Tab Fardin. "Multiresolution scalable image and video segmentation." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060227.100704/index.html.

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Gunturk, Bahadir K. "Multi-frame information fusion for image and video enhancement." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180015/unrestricted/gunturk%5Fbahadir%5Fk%5F200312%5Fphd.pdf.

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Huang, Guo Heng. "On-line video object segmentation using superpixel approach." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691897.

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Wang, Jue. "Foreground segmentation in images and video : methods, systems, and applications /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6130.

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Liu, Sam J. "Low bit-rate image and video compression using adaptive segmentation and quantization." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/14850.

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Books on the topic "Image processing Digital video"

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Winkler, Stefan. Digital Video Quality. John Wiley & Sons, Ltd., 2005.

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Multimedia image and video processing. 2nd ed. CRC Press, 2012.

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Multidimensional signal, image, and video processing and coding. 2nd ed. Academic Press, 2012.

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Practical image and video processing using MATLAB. Wiley/IEEE Press, 2011.

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Furht, Borivoje. Video and image processing in multimedia systems. Springer, 1995.

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Packet video: Modeling and signal processing. Artech House, 1994.

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Image and video processing in the compressed domain. CRC Press, 2011.

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Tian, Jing, and Li Chen. Intelligent image and video interpretation: Algorithms and applications. Information Science Reference, 2013.

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Catháin, Fergus O. An adaptive digital video codec for PAL/NTSC video. University College Dublin, 1997.

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Furht, Borivoje. Video and image processing in multimedia systems. Kluwer Academic Publishers, 1995.

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Book chapters on the topic "Image processing Digital video"

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Inoué, Shinya, and Kenneth R. Spring. "Digital Image Processing." In Video Microscopy. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5859-0_12.

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Walter, Robert J., and Michael W. Berns. "Digital Image Processing and Analysis." In Video Microscopy. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4757-6925-8_10.

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Mandal, Mrinal Kr. "Digital Image and Video Processing." In Multimedia Signals and Systems. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0265-4_11.

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Meyer-Baese, Uwe. "Image and Video Processing." In Digital Signal Processing with Field Programmable Gate Arrays. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45309-0_10.

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Barbarien, Joeri, Adrian Munteanu, and Peter Schelkens. "Digital Image and Video Compression." In Optical and Digital Image Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch20.

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Bianchi, Tiziano, and Alessandro Piva. "Image and Video Processing History Recovery." In Handbook of Digital Forensics of Multimedia Data and Devices. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118705773.ch15.

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Apostolopoulos, John G., and Jae S. Lim. "Video Compression for Digital Advanced Television Systems." In Motion Analysis and Image Sequence Processing. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3236-1_15.

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Lavergne, Gérard, Yves Biscos, Francis Bismes, and Patrick Hebrard. "Optical Particle Sizing : Digital Video Image Processing Application." In Optical Particle Sizing. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4757-1983-3_39.

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Vijayakumar, S., and V. Santhi. "Digital Image Segmentation Using Computational Intelligence Approaches." In Bio-Inspired Computing for Image and Video Processing. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315153797-7.

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Mohankumar, N., M. Nirmala Devi, D. Badari Nath, and Arun Scaria. "VLSI Architecture for Compressed Domain Video Watermarking." In Advances in Digital Image Processing and Information Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24055-3_41.

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Conference papers on the topic "Image processing Digital video"

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Topiwala, Pankaj, and Wei Dai. "HDR video coding for aerial videos with VVC and AV1." In Applications of Digital Image Processing XLIV, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2021. http://dx.doi.org/10.1117/12.2598712.

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Topiwala, Pankaj, and Wei Dai. "Video quality vs. video usability in the era of surveillance." In Applications of Digital Image Processing XLIII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2020. http://dx.doi.org/10.1117/12.2571311.

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Abbas, Adeel, Sandeep Doshi, Pankaj Topiwala, Wei Dai, Madhu Krishnan, and David Newman. "Performance comparison of AV1, HEVC, and JVET video codecs on 360 (spherical) video." In Applications of Digital Image Processing XL, edited by Andrew G. Tescher. SPIE, 2017. http://dx.doi.org/10.1117/12.2272119.

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Töreyin, Behcet Ugur. "Smoke detection in compressed video." In Applications of Digital Image Processing XLI, edited by Andrew G. Tescher. SPIE, 2018. http://dx.doi.org/10.1117/12.2322508.

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Giuliani, Nicola, Biao Wang, Elena Alshina, and Laura Leal-Taixé. "Frame synthesis for video compression." In Applications of Digital Image Processing XLIV, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2021. http://dx.doi.org/10.1117/12.2596884.

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Shoham, Tamar, Dror Gill, Sharon Carmel, Nikolay Terterov, and Pavel Tiktov. "Content-adaptive frame level rate control for video encoding using a perceptual video quality measure." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2527988.

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Choi, Kiho, Min Woo Park, Kwang Pyo Choi, et al. "MPEG-5: essential video coding standard." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2530429.

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Chernyak, Roman, Victor Stepin, Sergey Ikonin, and Jianle Chen. "Noise suppression filter for video coding." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2530539.

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Topiwala, Pankaj, Madhu Krishnan, and Wei Dai. "Deep learning and video quality analysis." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2530557.

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Alshina, Elena A., and Vladyslav S. Zakharchenko. "Discontinuity minimization for omnidirectional video projections." In Applications of Digital Image Processing XL, edited by Andrew G. Tescher. SPIE, 2017. http://dx.doi.org/10.1117/12.2275003.

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Reports on the topic "Image processing Digital video"

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Cathey, W. T., E. R. Dowski, Sara Bradburn, and Greg Johnson. Matched Image Formation/Digital Processing Systems. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328217.

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Alverson, James R. Characterization of Periodically Poled Nonlinear Materials Using Digital Image Processing. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada486654.

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Wang, Lei. Simulation, Measurements and Image Processing for Capillary Optical Digital Mammography. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada360959.

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Murenzi, Romain. The Workshop on Image Processing Applications for the Digital Battlefield. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada388059.

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Anastasiadis, S. H., J. K. Chen, J. T. Koberstein, A. F. Siegel, and J. E. Sohn. The Determination of Interfacial Tension by Video Image Processing of Pendant Fluid Drops. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada165745.

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Wang, Hui. Simulation, Measurements and Image Processing for Capillary Optical Digital Mammorgraphy (96 Breast). Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada394379.

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Rheault, M. M., R. Simard, P. Keating, and M. M. Pelletier. Mineral exploration: digital image processing of LANDSAT, SPOT, magnetic and geochemical data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128045.

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Annamalai, K., E. Kharbat, and C. Goplakrishnan. Digital image processing applications in the ignition and combustion of char/coal particles. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10145033.

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Annamalai, K., E. Kharbat, and C. Goplakrishnan. Digital image processing applications in the ignition and combustion of char/coal particles. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6644676.

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Miles, Richard B. Development of Pulse-Burst Laser Source and Digital Image Processing for Measurements of High-Speed, Time-Evolving Flow. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada381328.

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