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The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and F

Paul S. Addison 2016

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance has been fully updated and revised to reflect recent developments in the theory and practical applications of wavelet transform methods.

The book is designed specifically for the applied reader in science, engineering, medicine and finance. Newcomers to the subject will find an accessible and clear account of the theory of continuous and...


Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach (Signal and Image Processing of Earth Obser

Kun-Shan Chen 2015

Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operation.

The book places special emphasis on a ground-based SAR, but also explains space and air-borne systems. It contains chapters on signal...


Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis

Jean-Luc Starck 2015

This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source...


Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Enginee

Vishal M. Patel 2013

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we...


Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms

Caner Ozdemir 2012

This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given...


Wavelets: A Concise Guide

Amir-Homayoon Najmi 2012

Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi’s introduction to wavelet theory explains this mathematical concept clearly and succinctly.

Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the...


Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

Chris Solomon 2011

This is an introductory to intermediate level text on the scienceof image processing, which employs the Matlab programming languageto illustrate some of the elementary, key concepts in modern imageprocessing and pattern recognition. The approach taken isessentially practical and the book offers a framework within whichthe concepts can be understood by a series of well chosen examples,exercises and computer experiments, drawing on specific examplesfrom within science, medicine and...


Multidimensional Signal, Image, and Video Processing and Coding, Second Edition

John W. Woods 2011

This book gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical...


Digital Image Processing: An Algorithmic Introduction using Java

Wilhelm Burger 2011

Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and...


The H.264 Advanced Video Compression Standard

Iain E. Richardson 2010

H.264 Advanced Video Coding or MPEG-4 Part 10 is fundamental to agrowing range of markets such as high definition broadcasting,internet video sharing, mobile video and digital surveillance. Thisbook reflects the growing importance and implementation of H.264video technology. Offering a detailed overview of the system, itexplains the syntax, tools and features of H.264 and equips readerswith practical advice on how to get the most out of thestandard. * Packed with clear examples and...