Image Restoration

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources. Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible. Topics covered include: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.

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.

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources. Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible. Topics covered include: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.

In Photo Restoration: From Snapshots to Great Shots, author Robert Correll carefully guides you through the process of restoring your photos, teaching you the most effective techniques to preserve and repair your damaged or aging images. Organized based on a helpful photo restoration workflow, the book will feature Adobe Photoshop as the primary software solution of choice, with coverage of Photoshop Elements and Lightroom as well. Read the book from start to finish or quickly access the information you need for the specific photo problems at hand. The book will start by covering the basics, such as how to evaluate how a photo is damaged and then move to the appropriate solution; how to properly handle and scan/import your photos; and how to use Photoshop as a photo retouching tool, with information on how Photoshop Elements and Lightroom can also play a role in restoring your images. The book then dives into specific issues that arise with old or damaged photos, such as removal of dust, scuff marks, and stains; repairing actual damage such as creases or missing corners; correcting color-related problems like blue or yellow-tinted images and oversaturation; and improving the contrast and brightness of both color and black-and-white images. Finally, the book finishes up by showing you how to add a special touch of greatness and creativity to your photos, in addition to printing and archiving.

The manipulation of pictures and video in digital form has been an established research activity for more than twenty years. It is only recently, however, that digital image and video processing equipment has been accessible to the gen eral public. This is due in part to the rapidly growing economy. of the home computer. A major contributing factor has been the marked rise in the pres ence of the non-academic user on the internet, particularly the World Wide Web (WWW). Manipulating digital imagery has become synonymous with the WWW. It is the drive to present audio and visual media to the home user in an interactive form and to increase the available range of choices, which has encouraged agreements to begin digital video television broadcasting before the turn of the century. With the increased demand for video material, there is a perceived increase in demand for material from archive sources and this has fuelled commercial interest in automatic digital restoration processes. Further more there is a continuing effort to design techniques for correcting errors in received compressed video bit streams for the purposes of live communications links over noisy channels e. g. mobile telephones and the internet. This book introduces the reader to a range of digital restoration activities beyond the well traversed areas of noise reduction and deblurring. It describes a number of problems associated with archived film and video.

In the areas of image processing and computer vision, there is a particular need for software that can, given an unfocused or motion-blurred image, infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software, delineates the options open to programmers, and presents original algorithms. Written for readers with interests in image processing and computer vision and with backgrounds in engineering, science or mathematics, this highly practical text/reference is accessible to advanced students or those with a degree that includes basic linear algebra and calculus courses.

Putting Image Repair to the Test:Quantitative Applications of Image Restoration Theory examines content analytic, attitudinal, and behavioral claims to advance current assertions made about image repair discourse, its effects, and the surrounding discourse. The contributors provide empirical data to answer research questions and to test various hypotheses in one substantive volume that builds on prior research in this field. Recommended for scholars in communication studies, public relations, and journalism.

Because responding to complaints is such an important part of human relations, this type of discourse has been studied in various disciplines. However, these studies tend to take a narrow focus. For example, some scholars study apologies and excuses in everyday talk. Others look at public apologies in speeches. Accounts, Excuses, and Apologies integrates and extends existing work on this concept into a general theory. The resulting theory of image restoration is then tested through application to several instances of defensive discourse.