Leonid P. Yaroslavsky

Theoretical Foundations of Digital Imaging Using MATLAB (eBook, PDF)

• Format: PDF

Produktbeschreibung

Helping readers master digital imaging, this text presents a unified theoretical basis for understanding and designing methods of imaging and image processing. Designed for newcomers to imaging science and engineering, the book covers the subject in its entirety, from image formation to image perfecting. The author avoids using heavy mathematics and derives all formulas in full detail. To facilitate a deeper understanding of the major results, the book includes a number of exercises supported by MATLAB programs, with the code available at www.crcpress.com.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 514
• Erscheinungstermin: 26. November 2012
• Englisch
• ISBN-13: 9781466592193
• Artikelnr.: 57101959

Autorenporträt

Leonid P. Yaroslavsky is a professor emeritus at Tel Aviv University. A fellow of the Optical Society of America, Dr. Yaroslavsky has authored more than 100 papers on digital image processing and digital holography.

Inhaltsangabe

Introduction. Mathematical Preliminaries. Image Digitization. Discrete
Signal Transformations. Digital Image Formation and Computational Imaging.
Image Resampling and Building Continuous Image Models. Image Parameter
Estimation: Case Study-Localization of Objects in Images. Image Perfecting.
Index.