Books on the topic 'Image reconstruction'

Corporation, EduMed, ed. Image reconstruction. New York: Insight Media, 1995.

Zeng, Gengsheng Lawrence. Medical Image Reconstruction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05368-9.

J, McDonnell M., ed. Image restoration and reconstruction. Oxford [Oxfordshire]: Clarendon Press, 1986.

International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, (2nd : 1993 : Snowbird, Utah), ed. Fully 3D image reconstruction. Bristol: IOP Publishing, 1994.

Nowiński, Wiesław Lucjan. Asynchronism in parallel image reconstruction. Warszawa: Instytut Podstaw Informatyki Polskiej Akademii Nauk, 1990.

Sá, Asla M., Paulo Cezar Carvalho, and Luiz Velho. High Dynamic Range Image Reconstruction. Cham: Springer International Publishing, 2007. http://dx.doi.org/10.1007/978-3-031-79522-0.

Korostelev, A. P., and A. B. Tsybakov. Minimax Theory of Image Reconstruction. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-2712-0.

1941-, Natterer F., and Wübbeling Frank, eds. Mathematical methods in image reconstruction. Philadelphia: Society for Industrial and Applied Mathematics, 2001.

Korostelev, A. P. Minimax theory of image reconstruction. New York: Springer-Verlag, 1993.

Rhoden, Christopher A. Linear optimization and image reconstruction. Monterey, Calif: Naval Postgraduate School, 1994.

Maybank, Stephen. Theory of reconstruction from image motion. Berlin: Springer-Verlag, 1993.

Haq, Nandinee, Patricia Johnson, Andreas Maier, Tobias Würfl, and Jaejun Yoo, eds. Machine Learning for Medical Image Reconstruction. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88552-6.

Haq, Nandinee, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, and Jaejun Yoo, eds. Machine Learning for Medical Image Reconstruction. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17247-2.

Maybank, Stephen. Theory of Reconstruction from Image Motion. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77557-4.

Deeba, Farah, Patricia Johnson, Tobias Würfl, and Jong Chul Ye, eds. Machine Learning for Medical Image Reconstruction. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61598-7.

Jan, Jiří. Medical Image Processing, Reconstruction and Analysis. Other titles: Medical image processing, reconstruction, and restoration Description: Second edition. | Boca Raton: CRC Press, 2019. | Preceded by Medical image processing, reconstruction, and restoration/Jiří Jan.2006.: CRC Press, 2019. http://dx.doi.org/10.1201/b22391.

Knoll, Florian, Andreas Maier, Daniel Rueckert, and Jong Chul Ye, eds. Machine Learning for Medical Image Reconstruction. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33843-5.

Bannore, Vivek. Iterative-Interpolation Super-Resolution Image Reconstruction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00385-1.

Knoll, Florian, Andreas Maier, and Daniel Rueckert, eds. Machine Learning for Medical Image Reconstruction. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00129-2.

Townsend, David W. Image reconstruction methods in positron tomography. Geneva: CERN European Organization for Nuclear Research, 1993.

Maybank, Stephen. Theory of Reconstruction from Image Motion. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

A, Ravishankar Rao, and Cecchi Guillermo A, eds. High-throughput image reconstruction and analysis. Norwood, MA: Artech House, 2009.

Michel, Defrise, and European Organization for Nuclear Research., eds. Image reconstruction methods in positron tomography. Geneva: CERN, 1993.

Nowiński, Wiesław Lucjan. Backprojection methods: Comparative study using the IRRAD system of image reconstruction. Warsaw, Poland: Institute of Computer Science, Polish Academy of Sciences, 1988.

1956-, Katsaggelos Aggelos Konstantinos, ed. Digital image restoration. Berlin: Springer-Verlag, 1991.

Panetta, Daniele, and Niccoló Camarlinghi. 3D Image Reconstruction for CT and PET. Boca Raton : CRC Press, 2020. | Series: Focus series in medical physics and biomedical engineering: CRC Press, 2020. http://dx.doi.org/10.1201/9780429270239.

Deka, Bhabesh, and Sumit Datta. Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3597-6.

Pardoe, Andrew Charles. Neural network image reconstruction for nondestructive testing. [s.l.]: typescript, 1996.

European Workshop on 3D Structure from Multiple Images of Large-Scale Environments (2nd 2000 Dublin, Ireland). 3D structure from images - SMILE 2000: Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, Dublin, Irleand [i.e. Ireland], July 1-2, 2000 : revised papers. Berlin: Springer, 2001.

Nitschke, Christian. 3D reconstruction: Real-time volumetric scene reconstruction from multiple views. Saarbrücken: VDM, Verlag Dr. Müller, 2007.

Pawlak, M. Image analysis by moments: Reconstruction and computational aspects. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2006.

T, Herman Gabor, ed. Fundamentals of computerized tomography: Image reconstruction from projections. 2nd ed. Dordrecht: Springer, 2009.

Earls, Craig P. Holographic particle image velocimetry: Computational simulation and reconstruction. Springfield, Va: Available from National Technical Information Service, 1999.

Linköping, Universitetet i., ed. Reconstruction, processing and display of 3D-images. Linköping: Dept. of Electrical Engineering, Linköping University, 1986.

United States. National Aeronautics and Space Administration., ed. Image construction from the IRAS survey and data fusion. Laramie, WY: Wyoming Infrared Observatory, University of Wyoming, 1990.

National Institute of Standards and Technology (U.S.), ed. Singular integrals, image smoothness, and the recovery of texture in image deblurring. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2003.

Image Reconstruction Board. Storming Media, 1996.

Parker, J. A. Image Reconstruction in Radiology. Taylor & Francis Group, 2018.

Parker, J. Anthony. Image Reconstruction in Radiology. CRC Press, 2018. http://dx.doi.org/10.1201/9781351073363.

Image reconstruction in radiology. Boca Raton, Fla: CRC Press, 1990.

J, McDonnell M., ed. Image restoration and reconstruction. Clarendon, 1989.

Parker, J. A. Image Reconstruction in Radiology. Taylor & Francis Group, 2018.

Parker, J. A. Image Reconstruction in Radiology. Taylor & Francis Group, 2018.

Parker, J. A. Image Reconstruction in Radiology. Taylor & Francis Group, 2018.

Image Reconstruction in Radiology. Taylor & Francis Group, 2017.

National Aeronautics and Space Administration (NASA) Staff. Studies on Image Compression and Image Reconstruction. Independently Published, 2018.

Haltmeier, Markus, Johannes Schwab, and Stephan Antholzer. Deep Learning for Image Reconstruction. World Scientific Publishing Co Pte Ltd, 2020.

Wübbeling, Frank. Mathematical Methods in Image Reconstruction. 2001.

Trigonometric Transforms for Image Reconstruction. Storming Media, 1998.

Sa, Asla M., Paulo Cezar Carvalho, and Luiz Velho. High Dynamic Range Image Reconstruction. Morgan & Claypool Publishers, 2008.