Image Restoration

Image Restoration

Image size Time for Quadratic Time for Sparse prior inpixels regularizationwithFFT 50iterations 100iterations grey-scale 255× 255 ... The times taken for restoration of grey-scale and colored images are given in seconds for each of the ...

Author: Aymeric Histace

Publisher: BoD – Books on Demand

ISBN: 9789535103882

Category: Computers

Page: 384

View: 590

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.
Categories: Computers

Image Restoration

Image Restoration

Original Scene Blurring Downsampling Noisy LR Observation Figure 7.1 Information loss during image acquisition . ... The super resolution reconstruction problem is closely related to the image restoration problem .

Author: Bahadir Kursat Gunturk

Publisher: CRC Press

ISBN: 9781439869567

Category: Computers

Page: 378

View: 430

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.
Categories: Computers

Novel Diffusion Based Models for Image Restoration and Interpolation

Novel Diffusion Based Models for Image Restoration and Interpolation

A consistent finite difference-based discretization is then performed on this parabolic restoration model. The obtained iterative fast-converging explicit numerical approximation scheme is applied on hundreds of images corrupted by ...

Author: Tudor Barbu

Publisher: Springer

ISBN: 9783319930060

Category: Computers

Page: 126

View: 964

This book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art PDE-based image restoration and interpolation (inpainting) techniques, focusing on the latest advances in PDE-based image processing and analysis, and explores novel techniques involving diffusion-based models and variational schemes. The PDE and variational schemes clearly outperform the conventional approaches in these areas, and can successfully remove image noise and reconstruct missing or highly degraded regions, while preserving the essential features and avoiding unintended effects. The book addresses researchers and graduate students, but is also well suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the image processing models described, as well as mathematical treatments for the numerical approximation schemes of these differential models.
Categories: Computers

Image Restoration

Image Restoration

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.

Author: Bahadir Kursat Gunturk

Publisher: CRC Press

ISBN: 9781351832861

Category: Computers

Page: 378

View: 267

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.
Categories: Computers

Iterative Identification and Restoration of Images

Iterative Identification and Restoration of Images

The use of iterative schemes for image restoration has been proposed by many researchers, among which Kawata et al. [49], Katsaggelos et al. [45,46 and Maeda et al. 64). More recent developments in recursive and iterative image ...

Author: Reginald L. Lagendijk

Publisher: Springer Science & Business Media

ISBN: 9781461539803

Category: Technology & Engineering

Page: 208

View: 243

One of the most intriguing questions in image processing is the problem of recovering the desired or perfect image from a degraded version. In many instances one has the feeling that the degradations in the image are such that relevant information is close to being recognizable, if only the image could be sharpened just a little. This monograph discusses the two essential steps by which this can be achieved, namely the topics of image identification and restoration. More specifically the goal of image identifi cation is to estimate the properties of the imperfect imaging system (blur) from the observed degraded image, together with some (statistical) char acteristics of the noise and the original (uncorrupted) image. On the basis of these properties the image restoration process computes an estimate of the original image. Although there are many textbooks addressing the image identification and restoration problem in a general image processing setting, there are hardly any texts which give an indepth treatment of the state-of-the-art in this field. This monograph discusses iterative procedures for identifying and restoring images which have been degraded by a linear spatially invari ant blur and additive white observation noise. As opposed to non-iterative methods, iterative schemes are able to solve the image restoration problem when formulated as a constrained and spatially variant optimization prob In this way restoration results can be obtained which outperform the lem. results of conventional restoration filters.
Categories: Technology & Engineering

Blind Image Deconvolution

Blind Image Deconvolution

Image restoration [1,2] has been widely studied in the literature because of its theoretical as well as practical importance in many application fields. Its goal consists in recovering the original image from a single or multiple ...

Author: Patrizio Campisi

Publisher: CRC Press

ISBN: 1420007297

Category: Technology & Engineering

Page: 472

View: 585

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.
Categories: Technology & Engineering

DIGITAL IMAGE PROCESSING

DIGITAL IMAGE PROCESSING

6.7.2 Iterative Constrained Least-Square Image Restoration Iterative constrained least-square restoration technique improves the Landweber iteration by incorporating a regularisation parameter. The algorithm is given below: ˆf HH 0 = βT ...

Author: JAYARAMAN

Publisher: Tata McGraw-Hill Education

ISBN: 9781259081439

Category:

Page:

View: 721

Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing in a pragmatic style. Illustrative approach, practical examples and MATLAB applications given in the book help in bringing theory to life.
Categories:

Color Image Processing

Color Image Processing

[5] M.K. Ozkan, A.M. Tekalp, and M.I. Sezan, POCS-based restoration of space-varying blurred images, IEEE Trans. Image Process., 3,450–454, July 1994. [6] G.Bonmassar and E.L. Schwartz, Real-time restoration of images degraded by ...

Author: Rastislav Lukac

Publisher: CRC Press

ISBN: 9781351837415

Category: Technology & Engineering

Page: 600

View: 102

Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing. The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging. To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy. The remaining chapters detail the latest techniques and approaches to contemporary and traditional color image processing and analysis for a broad spectrum of sophisticated applications, including: Vector and semantic processing Secure imaging Object recognition and feature detection Facial and retinal image analysis Digital camera image processing Spectral and superresolution imaging Image and video colorization Virtual restoration of artwork Video shot segmentation and surveillance Color Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications. This book is part of the Digital Imaging and Computer Vision series.
Categories: Technology & Engineering

Digital Image Restoration

Digital Image Restoration

A Dual Approach to Signal Restoration Ch . Auyeung and R.M.Mersereau With 17 Figures This chapter looks at constrained image restoration as a convex programming program , which it solves using a dual approach .

Author: Aggelos Konstantinos Katsaggelos

Publisher: Springer

ISBN: UOM:39015024927538

Category: Image processing

Page: 243

View: 636

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.
Categories: Image processing

Digital Image Processing and Analysis

Digital Image Processing and Analysis

9.1 Introduction and Overview Image restoration methods are used to improve the appearance of an image by application of a restoration process that uses a mathematical model for image degradation The modeling of the degradation process ...

Author: Scott E Umbaugh

Publisher: CRC Press

ISBN: 9781498766067

Category: Technology & Engineering

Page: 873

View: 265

Digital image processing and analysis is a field that continues to experience rapid growth, with applications in many facets of our lives. Areas such as medicine, agriculture, manufacturing, transportation, communication systems, and space exploration are just a few of the application areas. This book takes an engineering approach to image processing and analysis, including more examples and images throughout the text than the previous edition. It provides more material for illustrating the concepts, along with new PowerPoint slides. The application development has been expanded and updated, and the related chapter provides step-by-step tutorial examples for this type of development. The new edition also includes supplementary exercises, as well as MATLAB-based exercises, to aid both the reader and student in development of their skills.
Categories: Technology & Engineering

Digital Image Processing and Analysis

Digital Image Processing and Analysis

References Andrews , H.C. and Hunt , B.R. , Digital Image Restoration , Prentice Hall , Englewood Cliffs , New Jersey , 1977 . Ayers , G. and Dainty , J. , ' Iterative blind deconvolution method and its applications ' , Optics Letters ...

Author: Chanda Bhabatosh

Publisher: PHI Learning Pvt. Ltd.

ISBN: 8120343255

Category: Image analysis

Page: 469

View: 388

Categories: Image analysis

Selected Papers on Digital Image Restoration

Selected Papers on Digital Image Restoration

J. Biemond , F. G. van der Putten , and J. W. Woods , “ Identification and restoration of images with symmetric ... A. M. Tekalp and M. I. Sezan , “ Quantitative analysis of artifacts in linear space - invariant image restoration ...

Author: M. Ibrahim Sezan

Publisher: Society of Photo Optical

ISBN: CORNELL:31924062567593

Category: Technology & Engineering

Page: 532

View: 240

Categories: Technology & Engineering

The Essential Guide to Image Processing

The Essential Guide to Image Processing

Digital Image Restoration. Springer Verlag, New York, 1991. [4] D. Kundur and D. Hatzinakos. Blind image deconvolution: an algorithmic approach to practical image restoration. IEEE Signal Process. Mag., 13(3):43–64, 1996.

Author: Alan C. Bovik

Publisher: Academic Press

ISBN: 0080922511

Category: Computers

Page: 672

View: 854

A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000
Categories: Computers

Photo Restoration

Photo Restoration

The scanner software resamples the scanned photo and scales the image size up or down by the given amount. (Note: This does not change the ... Figure 2.24 Do not change scaling to anything other than 100% for photo restoration work.

Author: Robert Correll

Publisher: Peachpit Press

ISBN: 9780134118796

Category: Photography

Page: 264

View: 773

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.
Categories: Photography

Digital Image Restoration

Digital Image Restoration

the necessity to improve images that are not of optimum utility for the purposes at hand . ... Digital computer techniques in image restoration and enhancement had their first fruitful application at the Jet Propulsion Laboratory of the ...

Author: Harry C. Andrews

Publisher: Prentice Hall

ISBN: UOM:39015004559079

Category: Image processing

Page: 238

View: 821

Categories: Image processing

Communications and Information Processing

Communications and Information Processing

Image Restoration Based on an AdaBoost Algorithm Nian Cai1, Feng Jin1, Qing Pan1, Shao-qiu Xu1, and Fangzhen Li2 1School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China {cainian,jinfeng,panqing ...

Author: Maotai Zhao

Publisher: Springer

ISBN: 9783642319655

Category: Computers

Page: 772

View: 834

The two volume set, CCIS 288 and 289, constitutes the thoroughly refereed post-conference proceedings of the First International Conference on Communications and Information Processing, ICCIP 2012, held in Aveiro, Portugal, in March 2012. The 168 revised full papers of both volumes were carefully reviewed and selected from numerous submissions. The papers present the state-of-the-art in communications and information processing and feature current research on the theory, analysis, design, test and deployment related to communications and information processing systems.
Categories: Computers

Energy Minimization Methods in Computer Vision and Pattern Recognition

Energy Minimization Methods in Computer Vision and Pattern Recognition

We introduce several color image restoration algorithms based on the Mumford-Shah model and nonlocal image information. The standard Ambrosio-Tortorelli and Shah models are defined to work in a small local neighborhood, ...

Author: Daniel Cremers

Publisher: Springer Science & Business Media

ISBN: 9783642036408

Category: Computers

Page: 494

View: 413

This book constitutes the refereed proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2009, held in Bonn, Germany in August 2009. The 18 revised full papers, 18 poster papers and 3 keynote lectures presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on discrete optimization and Markov random fields, partial differential equations, segmentation and tracking, shape optimization and registration, inpainting and image denoising, color and texture and statistics and learning.
Categories: Computers

Digital Image Processing using SCILAB

Digital Image Processing using SCILAB

Image. Restoration. 4.1. Introduction. Images captured using an acquisition process do not possess exactly the same information as original object, as image has some degradation in acquisition process. This degradation can occur due to ...

Author: Rohit M. Thanki

Publisher: Springer

ISBN: 9783319895338

Category: Technology & Engineering

Page: 154

View: 487

This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing.
Categories: Technology & Engineering

Theory Applications of Image Analysis

Theory   Applications of Image Analysis

4 Conclusion We have described a digital image restoration method , the iterative damped least - squares algorithm , to restore noisy degraded images . This method is based on the principle of damped least squares and incorporates two ...

Author: P. Johansen

Publisher: World Scientific

ISBN: 9810209452

Category: Technology & Engineering

Page: 346

View: 810

This book contains 31 papers carefully selected from among those presented at the 7th Scandinavian Conference on Image Analysis. The authors have extended their papers to give a more in-depth discussion of the theory, or of the experimental validation of the method they have proposed. The topics covered are current and wide-ranging and include both 2D- and 3D-vision, and low to high level vision.
Categories: Technology & Engineering

Computer Vision Computer Graphics Collaboration Techniques

Computer Vision Computer Graphics Collaboration Techniques

Keywords: Image restoration, fuzzy logic, structural similarity index, impulse noise. 1 Introduction Image restoration is an important branch of image processing, which deals with the reconstruction of images by removing noise and ...

Author: André Gagalowicz

Publisher: Springer Science & Business Media

ISBN: 9783642018107

Category: Computers

Page: 438

View: 463

This volume collects the papers accepted for presentation atMIRAGE 2009. TheMIRAGE conference is continuing to receive international recognition, with this year's presentations coming from 25 countries despite the large wor- wide ?nancial crisis. This time Asia submitted far fewer papers than previously and fewer than Europe. France provedto be the most active scienti?cally with a total of 16 submitted papers. Germany came second (10 submitted papers) and China third (8 papers). We received a total of 83 submissions and accepted 41 as oral presentations, over the three-day event. All papers were reviewed by three to four members of theProgramCommittee.The?nalselectionwasmadebytheConferenceChairs. At this point, we wish to thank the Program Committee and additional referees for their timely and high-quality reviews. We also thank the invited speakers Luc Van Gool, Frank Multon and Raquel Urtasun for kindly accepting to present very interesting talks. mirage 2009 was organizedbyinria Rocquencourt and took place atinria, Rocquencourt, close to Versailles. We believe that the conference proved to be a stimulating experience for all. March 2009 A. Gagalowicz W. Philips Organization Mirage 2009 was organized byinria and Ghent University.
Categories: Computers