Whether you are studying or already using digital imaging techniques, developing proficiency in the subject is not possible without mastering practical skills. In this book, Prof. Yaroslavsky delivers a complete applied course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging, the text provides an outline of outlying principles of each topic while offering more than 80 MATLAB® based exercises. Subjects addressed embrace image digitization (discretization, quantization, compression), digital image formation and computational imaging, image resampling and building continuous image models, image and noise statistical characterization and diagnostics, statistical image models and pattern formation, image correlators for localization of objects, methods of image perfecting (denoising, deblurring), and methods of image enhancement. Key features include: Supports * studying of all aspects of digital imaging from image signal digitization to image parameter estimation, recovery, restoration and enhancement. * MATLAB® source codes for exercises are provided, which readers can modify for their particular needs and tastes, to design new exercises and, in addition, to use them for solving particular image-processing tasks. * Test signals and images provided in the book, as well as methodology of the experiments, will be useful for readers in their further studies and practical work. * Exercises are supported by outlines of the corresponding theory. The book offers a unique combination of exercises, supportive software and data set that can be used not only for studying the subject, but in further practical work.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Leonid P Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Prof. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Studying digital imaging, mastering this profession and working in the area is not possible without obtaining practical skills based on fundamental knowledge in the subject. In this book Prof. Yaroslavsky delivers a complete practical course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging the text provides a theoretical outline of each topic before offering a range of Matlab(R) based exercises. Augmented by numerous colour illustrations and video files, the text allows readers to gain a practical understanding of the key topics in digital imaging and manipulation. Key features include: The book supports studying all aspects of digital imaging from image signal digitization to image parameter estimation, recovery, restoration and enhancement. Exercises are designed and implemented in Matlab(R). Matlab(R) source codes for exercises are provided, which enables readers to modify them for particular needs and tastes, to design new exercises and, in addition, to use them for solving particular image processing tasks. Exercises are supported by outlines of the corresponding theory.Test signals and images provided in the book as well as methodology of the experiments will be useful for readers in their further studies and practical work. This book is intended for graduate level students and practitioners in imaging engineering. Its goal is to help readers to master digital imaging on both fundamental theoretical and practical levels and is accompanied by a set of exercises in Matlab(R) covering all major topics of the subject. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780750310512
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Gebunden. Etat : New. Über den AutorLeonid P Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Prof. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography. N° de réf. du vendeur 594940669
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Whether you are studying or already using digital imaging techniques, developing proficiency in the subject is not possible without mastering practical skills. In this book, Prof. Yaroslavsky delivers a complete applied course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging, the text provides an outline of outlying principles of each topic while offering more than 80 MATLAB(R) based exercises. Subjects addressed embrace image digitization (discretization, quantization, compression), digital image formation and computational imaging, image resampling and building continuous image models, image and noise statistical characterization and diagnostics, statistical image models and pattern formation, image correlators for localization of objects, methods of image perfecting (denoising, deblurring), and methods of image enhancement. Key features include: Supports studying of all aspects of digital imaging from image signal digitization to image parameter estimation, recovery, restoration and enhancement. MATLAB(R) source codes for exercises are provided, which readers can modify for their particular needs and tastes, to design new exercises and, in addition, to use them for solving particular image-processing tasks. Test signals and images provided in the book, as well as methodology of the experiments, will be useful for readers in their further studies and practical work. Exercises are supported by outlines of the corresponding theory. The book offers a unique combination of exercises, supportive software and data set that can be used not only for studying the subject, but in further practical work. N° de réf. du vendeur 33646274/2
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