Digital Signal and Image Processing

Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not s... (Read more)

Today, more than 80% of the data transmitted over networks and archived on our computers, tablets, cell phones or clouds is multimedia data – images, videos, audio, 3D data. The applications of this data range from video games to healthcare, and include ... (Read more)

Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time series associated with optical and/or synthetic aperture radar acquisition modalities. Chapter ... (Read more)

Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multir... (Read more)

Graph spectral image processing is the study of imaging data from a graph frequency perspective. Modern image sensors capture a wide range of visual data including high spatial resolution/high bit-depth 2D images and videos, hyperspectral images, light fie... (Read more)

In an increasingly digitized and interconnected world, the volume of multidimensional, multimodal, heterogeneous and often incomplete data to be processed keeps growing at an unprecedented rate. This is why, today, tensors play a central role in many field... (Read more)

Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields. This set on Matrices and Tensors in Signal Processing aims at giving a self-contai... (Read more)

Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description ... (Read more)

Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description ... (Read more)

In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more comp... (Read more)

Color is a sensation generated both by the interaction of the visual sensors in the eyes with the natural environment and by the elaboration of visual information by higher brain functions. This book presents the mathematical framework needed to deal with... (Read more)

This second edition of the fully revised and updated From Photon to Pixel presents essential elements in modern digital photographic devices. Our universal infatuation with photography profoundly affects its usage and development. While some sides of p... (Read more)

The purpose of this book is the study of signals and deterministic, linear, time-invariant, finite and causal dimension systems. A set of practical tools is presented for automatic and signal processing. Methods of representation of dynamic linear systems ... (Read more)

The purpose of this book is the study of signals and deterministic, linear, time-invariant, finite and causal dimension systems. A set of practical tools is presented for automatic and signal processing. Methods of representation of dynamic linear systems ... (Read more)

This book addresses the basic principles of statistical inference. The first chapter recalls the basis of probabilities. The second chapter is devoted to point estimation, the hypothesis test, including p-values, the confidence region determination, mentio... (Read more)

This book focuses on the use of fundamental concepts in the treatment of deterministic signals. Each chapter presents the basic principles of the different aspect of the study of Fourier analysis, followed by a series of exercises for the reader to try. T... (Read more)

Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB®, after the first two volumes on the fundamentals and applications of Image and Signal Processing, focuses on the stochastic case. It will be ... (Read more)

This book presents current and emerging methods developed for the processing and analysis of multi-modality cardiac images from state-of-the-art imaging systems, especially cardiac ultrasound imaging, magnetic resonance imaging (MRI) and X-ray computed tom... (Read more)

Volume 2 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB® is essentially a collection of examples and exercises which also presents applications of digital signal- or image processing, and techniques... (Read more)

The solution of inverse problems is an unavoidable step in the signal and image processing chain, situated between data acquisition and decision making. Various inversion problems are presented by the authors of this book, such as tomography, detection-est... (Read more)

Whilst the domains of electronics and micro-electronics saw much progress in the last three decades, the acquisition of video sequences became a task of increasing triviality. However, these advancements, which have given rise to rapid improvements in sen... (Read more)

Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics. This book, the first of two volumes, emphasizes the role of mathematics as a rigorous basis for imaging sciences. It ... (Read more)

Volume 1 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB® presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is... (Read more)

Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics. This book, the second of two volumes, emphasizes the role of mathematics as a rigorous basis for imaging sciences. It p... (Read more)

This book presents the state of the art, together with the most recent research results, in the use of Quaternion Fourier Transforms (QFT) for the processing of color images and complex valued signals. It is based on the work of the authors in this area si... (Read more)

Presenting the concepts necessary for the design and testing of radiofrequency and high-speed circuits, this book explores signal and propagation theory for various circuit levels, from the chip to the PCB. The co-existence of high-speed wideband signals, ... (Read more)

The importance of medical imaging for diagnostics is strongly increasing. It is now necessary to have a good knowledge of the different physical principles possible. This book provides an overview of the progress made in the different domains of imaging... (Read more)

Non-stationary signals are generally found in nature and any information concerning such signals cannot easily be described or predicted. The extraction, analysis and classification of these signals are complicated by different types of noise. As any false... (Read more)

The authors of this book present novel solutions for channel coding using nonlinear sequence generators in order to demonstrate that nonlinear encoders can be designed to provide good performances and to encourage researchers to investigate these approache... (Read more)

Signal Processing with Free Software presents practical experiments in signal processing in order to demonstrate some possibilities for the practical implementation of signal processing techniques. To do this, the author uses free software applications, in... (Read more)

Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and ... (Read more)

Cluster or co-cluster analyses are important tools in a variety of scientific areas. The introduction of this book presents a state of the art of already well-established, as well as more recent methods of co-clustering. The authors mainly deal with the tw... (Read more)

While 3D vision has existed for many years, the use of 3D cameras and video-based modeling by the film industry has induced an explosion of interest for 3D acquisition technology, 3D content and 3D displays. As such, 3D video has become one of the new tech... (Read more)

Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the outpu... (Read more)

The rapid developments in magnetic resonance imaging (MRI) over the past 20 years have affirmed its supremacy over most other means of non-invasive exploration of the human body. This progress has had other consequences for imaging physicists: having knowl... (Read more)

With recent outbreaks of multiple large-scale financial crises, amplified by interconnected risk sources, a new paradigm of fund management has emerged. This new paradigm leverages “embedded” quantitative processes and methods to provide more transpare... (Read more)

The topic of this book is proportionate-type normalized least mean square (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the ... (Read more)

Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields. It is a powerful tool for efficiently representing signals and images at multiple levels of detail with many inherent... (Read more)

The aim of this book is to deal with biometrics in terms of signal and image processing methods and algorithms. This will help engineers and students working in digital signal and image processing deal with the implementation of such specific algorithms. I... (Read more)

This collective work identifies the latest developments in the field of the automatic processing and analysis of digital color images. For researchers and students, it represents a critical state of the art on the scientific issues raised by the various st... (Read more)

In this book the authors identify the basic concepts and recent advances in the acquisition, perception, coding and rendering of color. The fundamental aspects related to the science of colorimetry in relation to physiology (the human visual system) are ad... (Read more)

The importance of medical imaging for diagnostics is strongly increasing. It is now necessary to have a good knowledge of the different physical principles possible. This book describes the physical principles and technologies used in medical imaging in... (Read more)

Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. ... (Read more)

In everyday life, we often come into contact with compressed signals: when using mobile telephones, MP3 players, digital cameras, or DVD players we are using devices that capture, send, and manipulate digital, compressed versions of much larger and more co... (Read more)

Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds appli... (Read more)

The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.) and computer vision. In imaging... (Read more)

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigat... (Read more)

Multivariate imagery is now a very common tool in numerous applications, ranging from satellite remote sensing and astrophysics to biomedical imagery, monitoring of the environment or industrial inspection. Multivariate must be understood in th emost gene... (Read more)

The first part of this book is devoted to methods seeking relevant dimensions of the data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the dis... (Read more)

This book describes some of the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; ... (Read more)

The principle of tomography is to explore the structure and composition of objects non-destructively along spatial and temporal dimensions, using penetrating radiation, such as X- and gamma-rays, or waves, such as electromagnetic and acoustic waves. Based ... (Read more)

For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made possible recent advances in this area. Part one of this book deals with the pr... (Read more)

This book is organized around the notions of scaling phenomena and scale invariance. The various stochastic models commonly used to describe scaling are introduced: self-similarity, long-range dependence and multi-fractals. These models are compared and re... (Read more)

Time-frequency analysis brings together some rather diverse concepts and tools with the aim of reconciling the temporal analysis and spectral analysis of signals in a single joint representation. This is an appropriate framework for the analysis and proces... (Read more)

Computer-aided automatic processing of images requires the control of a series of operations, which this book analyzes. Knowing the statistical properties of images, sampling them to reduce the observable world to a series of discrete values, restoring ima... (Read more)

Synthetic aperture radar provides broad-area imaging at high resolutions, which can be used in applications such as environmental monitoring, earth-resource mapping and military systems. This book presents the tools required for the digital processing o... (Read more)

During the last decade, image and signal compression for storage and transmission purpose has seen tremendous expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed in the same way a... (Read more)

This title sets out to show that 2-D signal analysis has its own role to play alongside signal processing and image processing. Concentrating its coverage on 2-D signals coming from physical sensors (such as radars and sonars), the text explores a 2-D spec... (Read more)

This book provides the reader for the first time with a comprehensive collection of the significant results obtained to date in the field of parametric signal modeling and presents a number of new approaches. It begins by introducing discrete-time line... (Read more)

The goal of this book is to deal with inverse problems and regularized solutions using Bayesian statistical tools, with a particular view to signal and image estimation. Chapters 1-3 cover the theoretical notions that make it possible to cast inverse pr... (Read more)

This book uses MATLAB® as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that can effectively be studied in signal processing. A large number of worked examples, computer si... (Read more)

The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. This book offers an overview of the ge... (Read more)

The last fifteen years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in image processing, mat... (Read more)

This book provides a comprehensive overview of the subject of channel coding. It starts with a description of information theory, focusing on the quantitative measurement of information and introducing two fundamental theorems on source and channel coding.... (Read more)

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing: z-transform, Shannon sampling theorem and fast Fourier transform. An entire chapter is devoted to the design of time-continu... (Read more)

This title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs a... (Read more)

In signal processing, the concepts of frequency, which are usually referred to as “spectral” concepts, are omnipresent. The transition from analog methods to the use of digital tools in spectral analysis was first achieved by simple adaptation of the c... (Read more)