Author: | Leonid P Yaroslavsky | ISBN: | 9780750310505 |
Publisher: | Institute of Physics Publishing | Publication: | July 10, 2014 |
Imprint: | Institute of Physics Publishing | Language: | English |
Author: | Leonid P Yaroslavsky |
ISBN: | 9780750310505 |
Publisher: | Institute of Physics Publishing |
Publication: | July 10, 2014 |
Imprint: | Institute of Physics Publishing |
Language: | English |
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:
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.
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:
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.