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©. 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© 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.

Infrared thermography (IRT) is a non-contact, non-invasive methodology which allows for detection of thermal energy that is radiated from objects in the infrared band of the electromagnetic spectrum, for conversion of such energy into a visible image (such as a surface temperature map). This feature represents a great potential to be exploited in a vast variety of fields from aerospace to civil engineering, to medicine, to agriculture, etc. However, IRT is still not adequately enclosed in industrial instrumentation and there are still potential users who might benefit from the use of such a technique and who are not aware of their existence. This e-book conveys information about basic IRT theory, infrared detectors, signal digitalization and applications of infrared thermography in many fields such as medicine, foodstuff conservation, fluid-dynamics, architecture, anthropology, condition monitoring, non destructive testing and evaluation of materials and structures. The volume promotes an exchange of information between the academic world and industry, and shares methodologies which were independently developed and applied in specific disciplines.

This eBook is a collection of comprehensive and cutting edge book articles written by leading experts on digital signal and image processing in general, and specifically book written by one of pioneers of digital holography, one of the foremost branches of the image sciences and modern information technology. It covers all the basic aspects of digital synthesis and numerical reconstruction of holograms, beginning from digital holographic transforms, going on to fast numerical algorithms for reconstruction of digitally recorded holograms, and then to computer generated holograms and their applications in hybrid digital-optical image processing and 3D visualization and communication. It also offers a comprehensive review of image digital processing methods most relevant to digital holography. The volume appears at an appropriate time, i.e. while the field of optics is mutating from micro to nano and advanced optical technologies are becoming digital. It is written for researchers and advanced graduate and PhD students in the field of optics, photonics, electrical engineering, and biomedical engineering and related branches of experimental physics and natural sciences and should prove to be of great value to them. It can also be used as a text book for one-semester course.

This ebook covers fast transform algorithms, analyses, and applications in a single volume. It is the result of the collaboration by the author with others in the world wide university community and has been accumulated over the author’s working lifetime of about 40 years. It has now culminated in a nice mix of theoretical development and practical uses of various fast transforms. Thus readers will find practical approaches not covered elsewhere for the design and development of fast transform methods. Some of the most immediate applications, such as detection and analysis of periodicities in data, signal denoising and deblurring, signal resampling, precise differentiation and integration are covered and supported by concrete algorithms in this book. Other potential applications are supported by a tour of the theory and mathematical abstraction. The book is addressed to a broad circle of experimentalists, researchers and students that are not regularly educated in signal processing and work in various fields in experimental sciences ranging from physics a to metrology and to biomedical engineering.