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Multichannel Image Deconvolution - Umer Javed
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Multichannel Image Deconvolution - Taschenbuch

2011, ISBN: 3639330420

ID: 10407752098

[EAN: 9783639330427], Neubuch, [PU: VDM Verlag Mrz 2011], This item is printed on demand - Print on Demand Titel. Neuware - Blind image deconvolution is a very challenging and important research field. It has been proved to be useful in many application areas such as medical imaging, astronomical imaging and remote sensing. Several methods have been used for single channel framework, but in this book a solution to Multichannel Blind Image Deconvolutioin problem has been proposed when the original image is assumed to be sparse and limited knowledge of the Point Spread Function (PSF) is available. The sparse nature of image has leaded us to consider the case of Magnetic Resonance Force Microscopy (MRFM), hence PSF of MRFM machine is used in this project. An alternating minimization algorithm is used for the purpose of restoring the original image as well as the P.S.F. The proposed approach has successfully restored the original image and system's PSF. 84 pp. Englisch

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Blind image deconvolution is a very challenging and important research field. It has been proved to be useful in many application areas such as medical imaging, astronomical imaging and remote sensing. Several methods have been used for single channel framework, but in this book a solution to Multichannel Blind Image Deconvolutioin problem has been proposed when the original image is assumed to be sparse and limited knowledge of the Point Spread Function (PSF) is available. The sparse nature of image has leaded us to consider the case of Magnetic Resonance Force Microscopy (MRFM), hence PSF of MRFM machine is used in this project. An alternating minimization algorithm is used for the purpose of restoring the original image as well as the P.S.F. The proposed approach has successfully restored the original image and system's PSF. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Technik / Maschinenbau, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Paperback, [EAN: 9783639330427], VDM Verlag, VDM Verlag, Book, [PU: VDM Verlag], VDM Verlag, 922260, Reference, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564346, Engineering, 571042, Chemical & Biochemical Engineering, 571044, Civil Engineering, 571500, Electrical Engineering, 571046, Electronics & Telecommunications Engineering, 571052, Energy Engineering, 571056, Engineering Skills & Design, 571048, Environmental Engineering, 573598, Industrial Chemistry & Manufacturing Technologies, 571050, Mechanical & Material Engineering, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Multichannel Image Deconvolution - Javed, Umer
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Multichannel Image Deconvolution - Taschenbuch

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Multichannel Image Deconvolution - Taschenbuch

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Multichannel Image Deconvolution

Blind image deconvolution is a very challenging and important research field. It has been proved to be useful in many application areas such as medical imaging, astronomical imaging and remote sensing. Several methods have been used for single channel framework, but in this book a solution to Multichannel Blind Image Deconvolutioin problem has been proposed when the original image is assumed to be sparse and limited knowledge of the Point Spread Function (PSF) is available. The sparse nature of image has leaded us to consider the case of Magnetic Resonance Force Microscopy (MRFM), hence PSF of MRFM machine is used in this project. An alternating minimization algorithm is used for the purpose of restoring the original image as well as the P.S.F. The proposed approach has successfully restored the original image and system's PSF.

Detailangaben zum Buch - Multichannel Image Deconvolution


EAN (ISBN-13): 9783639330427
ISBN (ISBN-10): 3639330420
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: VDM Verlag Mrz 2011

Buch in der Datenbank seit 01.05.2008 23:36:10
Buch zuletzt gefunden am 13.05.2017 11:25:13
ISBN/EAN: 9783639330427

ISBN - alternative Schreibweisen:
3-639-33042-0, 978-3-639-33042-7


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