SCIENCES – Image

Remote sensing data are now the primary sources for observing Earth and the Universe. Data inversion and assimilation techniques are the main tools for estimating and predicting the geophysical parameters that characterize the evolution of our planet and t... (Read more)

This book provides an understanding of ultrasound imaging principles and how the field is evolving to better probe living systems. Today, widely-used imaging systems visualize structures and blood flow within the body in real-time. Signal analysis, hardwar... (Read more)

Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies.... (Read more)

Optical imaging of biological systems has undergone spectacular development in recent years, producing a quantity and a quality of information that, just twenty years ago, could only be dreamed of by physicists, biologists and physicians. Unconventional... (Read more)

Most cameras are inherently designed to mimic what is seen by the human eye: they have three channels of RGB and can achieve up to around 30 frames per second (FPS). However, some cameras are designed to capture other modalities: some may have the ability ... (Read more)

After a review of the essential concepts of magnetic resonance imaging (MRI), The Challenges of MRI presents the recent techniques and methods of MRI and resulting medical applications. These techniques provide access to information that goes well beyond a... (Read more)

Omnidirectional cameras, vision sensors that can capture 360° images, have in recent years had growing success in computer vision, robotics and the entertainment industry. In fact, modern omnidirectional cameras are compact, lightweight and inexpensive, a... (Read more)

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)

Drastic improvements in both access to satellite images and data processing tools today allow near real-time observation of Earth surface deformations. Remote sensing imagery is thus a powerful, reliable and spatially dense source of information that can b... (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)