Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.

This book summarizes the proceedings of the 10th international conference on Infonnation Pro cessing in Medical Imaging (IPMI-lO), held in June, 1987, in Zeist, The Netherlands. IPMI is a biennial conference, organized alternately in Europe and North America. The subject of the conference is the use of physics, mathematics, computer science, and engineering in the of medical images. The intent of the conference is to fonnation, processing and interpretation provide a forum where new ideas and results of research in medical imaging can be presented and amply discussed. Accordingly, the programme can comprise only a limited number of papers. The scientific committee of IPMI-lO selected 41 papers for presentation, although a total of 102 extended abstracts of on the average high quality had been submitted. All selected contri butions are included in these proceedings. During of the preparations of the conference the organizers received the tragic news of the death of Francois Erbsmann, the initiator of IPMI, and organizer of the first conference in 1969 in Brussels. Francois always emphasized that the backbone of the IPMI meetings should be promising young and active researchers rather than established scientists in the field. As an appreciation of this idea, and in thankful remembrance of Francois' stimulating work, the IPMI-board has taken the initiative to present the Francois Erbsmann prize for the most significant contribution to the conference by a young investigator.

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 separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB® and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications.

This is the first book to provide a single complete reference on microphone arrays. Top researchers in this field contributed articles documenting the current state of the art in microphone array research, development and technological application.

This book represents a sample of recent contributions of researchers all around the world in the field of image restoration. The book consists of 15 chapters organized in three main sections (Theory, Applications, Interdisciplinarity). Topics cover some different aspects of the theory of image restoration, but this book is also an occasion to highlight some new topics of research related to the emergence of some original imaging devices. From this arise some real challenging problems related to image reconstruction/restoration that open the way to some new fundamental scientific questions closely related with the world we interact with.