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Digital Image Restoration

Author: Aggelos Konstantinos Katsaggelos

Publisher: Springer

Published: 1991

Total Pages: 272

ISBN-13:

Recent research results are presented regarding the formulation of the restoration problem as a convex programming problem, the implementation of restoration algorithms using artificial neural networks, the derivation of non-stationary image models and their application to image estimation and restoration, the development of algorithms for the simultaneous image and blur parameter identification and restoration, and the development of algorithms for restoring scanned photographic images.

Image Restoration

Author: Bahadir Kursat Gunturk

Publisher: CRC Press

Published: 2018-09-03

Total Pages: 378

ISBN-13: 1439869561

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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.

Motion Picture Restoration

Author: Anil C. Kokaram

Publisher: Springer Science & Business Media

Published: 2013-12-18

Total Pages: 342

ISBN-13: 1447134850

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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.

Digital Image Restoration

Author: Aggelos K. Katsaggelos

Publisher: Springer

Published: 1991

Total Pages: 0

ISBN-13: 9783642582165

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The field of image restoration is concerned with the estimation of uncorrupted im ages from noisy, blurred ones. These blurs might be caused by optical distortions, object motion during imaging, or atmospheric turbulence. In many scientific and en gineering applications, such as aerial imaging, remote sensing, electron microscopy, and medical imaging, there is active or potential work in image restoration. The purpose of this book is to provide in-depth treatment of some recent ad vances in the field of image restoration. A survey of the field is provided in the introduction. Recent research results are presented, regarding the formulation of the restoration problem as a convex programming problem, the implementation of restoration algorithms using artificial neural networks, the derivation of non stationary image models (compound random fields) and their application to image estimation and restoration, the development of algorithms for the simultaneous image and blur parameter identification and restoration, and the development of algorithms for restoring scanned photographic images. Special attention is directed to issues of numerical implementation. A large number of pictures demonstrate the performance of the restoration approaches. This book provides a clear understanding of the past achievements, a detailed description of the very important recent developments and the limitations of existing approaches, in the rapidly growing field of image restoration. It will be useful both as a reference book for working scientists and engineers and as a supplementary textbook in courses on image processing.

Photo Restoration

Author: Robert Correll

Publisher: Peachpit Press

Published: 2015-05-15

Total Pages: 581

ISBN-13: 0134118790

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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.

Mathematics of Digital Images

Author: S. G. Hoggar

Publisher: Cambridge University Press

Published: 2006-09-14

Total Pages: 896

ISBN-13: 9781139451352

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Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon's information theory, compression, filtering and tomography. The book will be suited for advanced courses or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing and information theory and its applications.

Fundamentals of Digital Image Processing

Author: S. Annadurai

Publisher: Pearson Education India

Published: 2007

Total Pages: 444

ISBN-13: 9788177584790

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Digital Restoration from Start to Finish

Author: Ctein

Publisher: Taylor & Francis

Published: 2013-04-26

Total Pages: 449

ISBN-13: 1136098135

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Digital Restoration: Start to Finish 2nd edition guides you step-by-step through the entire process of restoring old photographs and repairing new ones using Adobe Photoshop, plug-ins, Picture Window, and now Elements. Nothing is left out, from choosing the right hardware and software and getting the photographs into the computer, to getting the finished photo out of the computer and preserving it for posterity. With this book you will learn how to: ? scan faded and damaged prints and films ? improve snapshots with the Shadow/Highlight adjustment ? correct uneven exposure and do dodging and burning-in with Curves adjustment layers ? scan and recover nearly blank photograph ? fix color with Curves and Hue/Saturation adjustment layers ? fix skin tones with airbrush layers ? hand-tint a photograph easily with masked layers ? fix color with plug-ins ? clean up dust and scratches ? repair small and large cracks with masks and filter ? eliminate tarnish and silvered-out spots from a photograph ? minimize unwanted print surface textures ? erase mildew spots ? eliminate the dots from newspaper photographs ? increase sharpness and fine detail in a photograph * NEW Workflow Diagram * NEW DODGE/BURN WITH SOFT LIGHT LAYER * NEW Photoshop Elements and plug ins

Digital Imaging for Cultural Heritage Preservation

Author: Filippo Stanco

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 523

ISBN-13: 1351833812

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This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models.

Fundamentals of Digital Image Processing

Author: Chris Solomon

Publisher: John Wiley & Sons

Published: 2011-07-05

Total Pages: 364

ISBN-13: 1119957001

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This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.