Image Recovery: Theory and Application

Image Recovery: Theory and Application PDF Author: Henry Stark
Publisher: Elsevier
ISBN: 0323145973
Category : Technology & Engineering
Languages : en
Pages : 565

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Book Description
Image Recovery: Theory and Application focuses on signal recovery and synthesis problems. This book discusses the concepts of image recovery, including regularization, the projection theorem, and the pseudoinverse operator. Comprised of 13 chapters, this volume begins with a review of the basic properties of linear vector spaces and associated operators, followed by a discussion on the Gerchberg-Papoulis algorithm. It then explores image restoration and the basic mathematical theory in image restoration problems. The reader is also introduced to the problem of obtaining artifact-free computed tomographic reconstruction. Other chapters consider the importance of Bayesian approach in the context of medical imaging. In addition, the book discusses the linear programming method, which is particularly important for images with large number of pixels with zero value. Such images are usually found in medical imaging, microscopy, electron microscopy, and astronomy. This book can be a valuable resource to materials scientists, engineers, computed tomography technologists, and astronomers.

Image Recovery: Theory and Application

Image Recovery: Theory and Application PDF Author: Henry Stark
Publisher: Elsevier
ISBN: 0323145973
Category : Technology & Engineering
Languages : en
Pages : 565

Get Book Here

Book Description
Image Recovery: Theory and Application focuses on signal recovery and synthesis problems. This book discusses the concepts of image recovery, including regularization, the projection theorem, and the pseudoinverse operator. Comprised of 13 chapters, this volume begins with a review of the basic properties of linear vector spaces and associated operators, followed by a discussion on the Gerchberg-Papoulis algorithm. It then explores image restoration and the basic mathematical theory in image restoration problems. The reader is also introduced to the problem of obtaining artifact-free computed tomographic reconstruction. Other chapters consider the importance of Bayesian approach in the context of medical imaging. In addition, the book discusses the linear programming method, which is particularly important for images with large number of pixels with zero value. Such images are usually found in medical imaging, microscopy, electron microscopy, and astronomy. This book can be a valuable resource to materials scientists, engineers, computed tomography technologists, and astronomers.

The Image Restore

The Image Restore PDF Author: Glenn Sunshine
Publisher:
ISBN: 9781736944806
Category :
Languages : en
Pages :

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Book Description


Digital Image Restoration

Digital Image Restoration PDF Author: Aggelos Konstantinos Katsaggelos
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 272

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Book Description
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.

Beginning Photo Retouching and Restoration Using GIMP

Beginning Photo Retouching and Restoration Using GIMP PDF Author: Phillip Whitt
Publisher: Apress
ISBN: 1484204034
Category : Computers
Languages : en
Pages : 295

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Book Description
Beginning Photo Retouching & Restoration Using GIMP teaches the reader how to achieve professional results using this high end image editor. You'll learn how to do everything from making dull images "pop" to resurrecting badly damaged photographs deemed beyond any hope of rescue. There's no need to shell out good money month after month for the "big name" software package. GIMP 2.8 is a world-class image editor that wields almost as much power, and is completely free! Learning the art of photo retouching and restoration is fun and rewarding. Reclaim those treasured images from the ravages of time and neglect, and pass them on to future generations. Beginning Photo Retouching & Restoration Using GIMP will provide you with a wide array of editing exercises to help you develop a high degree of proficiency. Whether you are the designated "family archivist" wanting to preserve your family history, or a professional photographer with a desire to add an extra revenue generating service, this book will be an invaluable aid. • Shows how to acquire the best scans and digitize large photographs. • Teaches you how to digitally repair damaged prints, correct color shifts, reclaim lost detail-even colorize black and white images. • Offers great tips on how to maintain and preserve your newly printed restored photographs, and how to properly store originals.

A Beginner’s Guide to Digital Image Repair in Photoshop: Volume 1

A Beginner’s Guide to Digital Image Repair in Photoshop: Volume 1 PDF Author: Jennifer Harder
Publisher: Apress
ISBN:
Category : Computers
Languages : en
Pages : 0

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Book Description
Digitally restore your old photos in Photoshop for print out or to use online as still photos. This first of two volumes will show you some of the basic techniques you can use in Photoshop to preserve or repair damaged family and historical photos. In today’s digital world of smart phones and cameras, you can easily transfer your photos from phone to computer. However, occasionally you’re left with an old or damaged version of the image and the uncertainty of how to fix them. Aided by the sound advice and tips from author Jennifer Harder, this book will show you how to do so with just a few basic corrections in Photoshop. Using healing tools, basic color correction tools, layer masks, and workspace commands to fill in missing gaps, you’ll be able to print out an unblemished picture or post it on your social media page. A Beginner’s Guide to Digital Image Repair in Photoshop: Volume 1 provides the know-how to help preserve your family treasures. What You Will Learn Review scanner basics for digitizing your photos Use various “healing” and color adjustment tools in Photoshop for restoring photos See how custom selections and layer masks can be used in the photo restoration process Apply various workspaces to fill in missing details in an image or merge photos Who Is This Book For Users who want to learn how to repair old historical photos and slides for digital presentation or for print as well as those who are interested in basic animation.

Image Restoration

Image Restoration PDF Author: Bahadir Kursat Gunturk
Publisher: CRC Press
ISBN: 1439869561
Category : Computers
Languages : en
Pages : 378

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Book Description
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.

Document Image Processing

Document Image Processing PDF Author: Ergina Kavallieratou
Publisher: MDPI
ISBN: 3038971057
Category : Technology & Engineering
Languages : en
Pages : 217

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Book Description
This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging

Recovery from Distorted Images of God

Recovery from Distorted Images of God PDF Author: Dale Ryan
Publisher:
ISBN: 9780830811526
Category : Religion
Languages : en
Pages : 68

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Book Description


Selected Papers on Digital Image Restoration

Selected Papers on Digital Image Restoration PDF Author: M. Ibrahim Sezan
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Computers
Languages : en
Pages : 564

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Book Description


Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision PDF Author: Yuxin Peng
Publisher: Springer Nature
ISBN: 3030606333
Category : Computers
Languages : en
Pages : 789

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Book Description
The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.