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1

J, Offen R., ed. VLSI image processing. London: Collins, 1985.

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2

J, Offen R., ed. VLSI image processing. New York: McGraw-Hill, 1985.

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3

Takao, Nishitani, Ang Peng H, and Catthoor Francky, eds. VLSI video/image signal processing. Boston: Kluwer Academic Publishers, 1993.

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4

J, Offen R., ed. VLSIimage processing. London: Collins, 1985.

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5

Jonker, Petrus Paulus. Morphological image processing: Architecture and VLSI design. [Deventer?]: Kluwer, 1992.

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6

P, Pirsch, ed. VLSI implementations for image communications. Amsterdam: Elsevier, 1993.

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7

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.

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8

Reinhard, Koch, Gool Luc van, and European Conference on Computer Vision (5th : 1998 : Freiburg im Breisgau, Germany), eds. 3D structure from multiple images of large-scale environments: European workshop, SMILE '98, Freiburg, Germany, June 6-7, 1998 : proceedings. Berlin: Springer, 1998.

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9

W, Klein William, and National Institute of Standards and Technology (U.S.), eds. Creating and validating a large image database for METTREC. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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10

Moyal, Ami. Phonetic Search Methods for Large Speech Databases. New York, NY: Springer New York, 2013.

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11

Tlelo-Cuautle, Esteban. Integrated Circuits for Analog Signal Processing. New York, NY: Springer New York, 2013.

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12

Kharagpur), IEEE INDICON 2004 (2004 Indian Institute of Technology. Proceedings of the IEEE INDICON 2004: First India Annual Conference, December 20-22, 2004, Indian Institute of Technology Kharagpur. Kharagpur, West Bengal, India: IEEE Kharagpur Section, IIT Kharagpur, 2004.

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13

Elibol, Armagan. Efficient Topology Estimation for Large Scale Optical Mapping. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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14

Blanc, A. Identification de reṕonse impulsionnelle et restauration d'images: Apports de la diversite ́de phase. Chatillon [France]: ONERA, 2003.

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15

Mächler, Patrick. VLSI architectures for compressive sensing and sparse signal recovery. Konstanz: Hartung-Gorre Verlag, 2013.

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16

service), SpringerLink (Online, ed. Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg and Tsinghua University Press, 2011.

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17

ICASSP (22nd 1997 Munich, Germany). 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing: April 21-24, 1997, Munich, Germany. Los Alamitos, Calif: IEEE Computer Society Press, 1997.

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18

ICASSP (24th 1999 Phoenix, Ariz.). 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings : ICASSP99 Phoenix : March 15-19, 1999, Civic Plaza, Hyatt Regency, Phoenix, Arizona, U.S.A. Piscataway, NJ: IEEE, 1999.

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19

Jan-Michael, Frahm, Pollefeys Marc, Leal-Taixé Laura, Rosenhahn Bodo, and SpringerLink (Online service), eds. Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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20

Waters, Donald J. From microfilm to digital imagery: On the feasibility of a project to study the means, cost and benefits of converting large quantities of preserved library materials from microfilm to digital images. Washington, D.C: Commission on Preservations and Access, 1991.

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21

Andrea, Richichi, and European Southern Observatory, eds. The power of optical/IR interferometry: Recent scientfic results and 2nd generation instrumentation : proceedings of the ESO Workshop held in Garching, Germany, 4-8 April 2005. Berlin: Springer, 2007.

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22

Waters, Donald J. From microfilm to digital imagery: On the feasibility of a project to study the means, cost, and benefits of converting large quantities of preserved library materials from microfilm to digital images : a report of the Yale University Library to the Commission on Preservation and Access. Washington, D.C: The Commission, 1991.

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23

service), SpringerLink (Online, ed. VLSI for Wireless Communication. 2nd ed. Boston, MA: Springer Science+Business Media, LLC, 2011.

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24

Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization. Bookboon.com, 2013.

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25

Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization. Bookboon.com, 2013.

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26

Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization. Bookboon.com, 2013.

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27

Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization. Bookboon.com, 2013.

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28

S, Levialdi, ed. Integrated technology for parallel image processing. London: Academic Press, 1985.

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29

Pirsch, P. VLSI Implementations for Image Communications. Elsevier Science & Technology Books, 2014.

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30

(Editor), Marc Pollefeys, Luc van Gool (Editor), Andrew Zisserman (Editor), and Andrew Fitzgibbon (Editor), eds. 3D Structure from Images - SMILE 2000: Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments Dublin, Ireland, July ... Papers (Lecture Notes in Computer Science). Springer, 2001.

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31

(Editor), Reinhard Koch, and Luc Van Gool (Editor), eds. 3D Structure from Multiple Images of Large-Scale Environments: European Workshop, Smile '98, Freiburg, Germany, June 1998 : Proceedings (Lecture Notes in Computer Science). Springer-Verlag Telos, 1999.

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32

New Approaches To Image Processing Based Failure Analysis Of Nanoscale Ulsi Devices. Elsevier - Health Sciences Division, 2013.

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33

Zalevsky, Zeev, Eran Gur, and Pavel Livshits. New Approaches to Image Processing Based Failure Analysis of Nano-Scale ULSI Devices. Elsevier Science & Technology Books, 2013.

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34

Novel optical systems and large-aperture imaging: 20-21 July, 1998, San Diego, California. Bellingham, Washington: SPIE, 1998.

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35

Moyal, Ami, Vered Aharonson, and Ella Tetariy. Phonetic Search Methods for Large Speech Databases. Springer, 2013.

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36

Tlelo-Cuautle, Esteban. Integrated Circuits for Analog Signal Processing. Springer, 2012.

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37

Tlelo-Cuautle, Esteban. Integrated Circuits for Analog Signal Processing. Springer New York, 2014.

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38

Tlelo-Cuautle, Esteban. Integrated Circuits for Analog Signal Processing. Springer, 2012.

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39

Mark, Kissling, ed. The big picture: The design & formatting of large-format digital printing. Cincinnati, Ohio: ST Media Group International, 2002.

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40

Garcia, Rafael, Armagan Elibol, and Nuno Gracias. Efficient Topology Estimation for Large Scale Optical Mapping. Springer, 2014.

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41

Garcia, Rafael, Armagan Elibol, and Nuno Gracias. Efficient Topology Estimation for Large Scale Optical Mapping. Springer, 2012.

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42

Chang, Edward Y. Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception. Springer, 2011.

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43

Institute Of Electrical and Electronics Engineers and IEEE Signal Processing Society. 1999 IEEE International Conference on Acoustics, Speech and Signal Processing (Icassp). Institute of Electrical & Electronics Enginee, 1999.

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44

IEEE Computer Society and Institute Of Electrical and Electronics Engineers. 1997 IEEE International Conference on Acoustics, Speech and Signal Processing (Ieee International Engineering Management Conference//Ieee International Engineering Management Conference). Institute of Electrical & Electronics Enginee, 1998.

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45

Pollefeys, Marc, Frank Dellaert, Bodo Rosenhahn, Laura Leal-Taixé, and Jan-Michael Frahm. Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Springer Berlin / Heidelberg, 2012.

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46

Kalmoun, El Mostafa, Azizan Saaban, Haslinda Ibrahim, Razamin Ramli, and Zurni Omar. Multilevel Optimization for Dense Motion Estimation. UUM Press, 2012. http://dx.doi.org/10.32890/9789670474274.

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This monograph offers design for fast and reliable technique in the dense motion estimation. This Multilevel Optimization for Dense Motion Estimation work blends both theory and applications to equip reader with an understanding of basic concepts necessary to apply in solving dense motion in a sequence of images. Illustrating well-known variation models for dealing with optical flow estimation, this monograph introduces variation models with applications. A host of variation models are outlines such as Horn-Schunck model, Contrast Invariation Models and Models for Large Displacement. Special attention is also given to multilevel optimization techniques namely multiresolution and multigrid methods to improve the convergence of the global optimum when compared to using only one level resolution in the context of computer vision. This monograph is a robust resource that provides insightful introduction to the field of image processing with its theory and applications. Overall, Multilevel Optimization for Dense Motion Estimation is highly recommended for scientists and engineers for an excellent choice for references and self-study.
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47

Leung, Bosco. VLSI for Wireless Communication. Springer, 2014.

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48

Leung, Bosco. VLSI for Wireless Communication. Springer, 2011.

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