Articoli correlati a Advanced Digital Imaging Laboratory Using MATLAB

Advanced Digital Imaging Laboratory Using MATLAB - Rilegato

Libro 2 di 72: IOP Expanding Physics

Yaroslavsky, Leonid P.

 
9780750310512: Advanced Digital Imaging Laboratory Using MATLAB
Rilegato
ISBN 10: 0750310510 ISBN 13: 9780750310512
Casa editrice: Inst of Physics Pub Inc, 2014

Sinossi

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 underlying principles of each topic before 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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Dalla quarta di copertina

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® 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.

Dal risvolto di copertina interno

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® 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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Inst of Physics Pub Inc
Data di pubblicazione
2014
Lingua
Inglese
ISBN 10 
0750310510
ISBN 13 
9780750310512
Rilegatura
Copertina rigida
Numero di pagine
124
Contatto del produttore
non disponibile
Persona responsabile
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Germania