Bøker av Leonid P. Yaroslavsky

How to Optimally Sample and Resample Images: Theory and Methods Using MATLAB provides updated formulations of image sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, and also introduces interpolation error-free methods of image resampling. Readers will be informed about relevant principles and applications of image sampling with the help of MATLAB(c). The information presented in the book, across 9 chapters, will help readers to understand processes that make analog to digital signal conversion efficient for modern imaging devices.Key Features: - Introduces readers to classical sampling theorems- Presents updated information about image sampling and resampling formulations with reference to theoretical minimums- Presents information on practical and fast sampling algorithms- Presents information about interpolation error-free methods of image resampling- Presents examples of applications of the described methods- Is supplemented by a MATLAB(c) program package for exercising knowledge.The book is a suitable handbook for engineers and technicians involved in imaging engineering and related applications as well as engineering students learning about digital signal processing techniques.

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

Provides both the most updated formulations of the sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, as well interpolation-error-free methods of image resampling and the theory of discrete representation of signal integral transforms.