Image Reconstruction And Restoration

Image Reconstruction And Restoration Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Image Reconstruction And Restoration book. This book definitely worth reading, it is an incredibly well-written.

Image Restoration

Author : Bahadir Kursat Gunturk,Xin Li
Publisher : CRC Press
Page : 378 pages
File Size : 52,6 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781439869567

Get Book

Image Restoration by Bahadir Kursat Gunturk,Xin Li Pdf

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.

Image Restoration and Reconstruction

Author : R. H. T. Bates,M. J. McDonnell
Publisher : Oxford University Press, USA
Page : 312 pages
File Size : 46,6 Mb
Release : 1986
Category : Computers
ISBN : UOM:39015012453000

Get Book

Image Restoration and Reconstruction by R. H. T. Bates,M. J. McDonnell Pdf

Though a relatively new science, image processing is already an important field with many useful applications in areas such as satellite imaging, astronomy, medical imaging, and holography. The first comprehensive treatment of image restoration and reconstruction, this volume focuses on those aspects that are most useful to scientists and engineers. An important feature is the inclusion of extended worked examples at the end of each chapter, which allow the reader to get a practical feel for these techniques.

Medical Image Processing, Reconstruction and Restoration

Author : Jiri Jan
Publisher : CRC Press
Page : 755 pages
File Size : 46,9 Mb
Release : 2005-11-02
Category : Medical
ISBN : 9781420030679

Get Book

Medical Image Processing, Reconstruction and Restoration by Jiri Jan Pdf

It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation, as well as a thorough explanation of the techniques involved, particularly those found in medical image processing, would be an

Image Reconstruction and Restoration II

Author : Timothy J. Schulz
Publisher : SPIE-International Society for Optical Engineering
Page : 288 pages
File Size : 45,5 Mb
Release : 1997
Category : Composers
ISBN : STANFORD:36105029143737

Get Book

Image Reconstruction and Restoration II by Timothy J. Schulz Pdf

Recent Advances in Image Restoration with Applications to Real World Problems

Author : Chiman Kwan
Publisher : BoD – Books on Demand
Page : 180 pages
File Size : 52,7 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9781839683558

Get Book

Recent Advances in Image Restoration with Applications to Real World Problems by Chiman Kwan Pdf

In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. This book intends to provide the reader with a glimpse of the latest developments and recent advances in image restoration, which includes image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and the generation of synthetic images using deep learning techniques. Some practical applications are also included.

Medical Image Processing, Reconstruction and Restoration

Author : Jiri Jan
Publisher : CRC Press
Page : 760 pages
File Size : 40,6 Mb
Release : 2005-11-02
Category : Medical
ISBN : 0824758498

Get Book

Medical Image Processing, Reconstruction and Restoration by Jiri Jan Pdf

It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation, as well as a thorough explanation of the techniques involved, particularly those found in medical image processing, would be an invaluable resource to have. Medical Image Processing, Reconstruction and Restoration: Concepts and Methods is that resource. It not only explains the general principles and methods of image processing, but also focuses on recent applications specific to medical imaging – providing a theoretical yet clear explanation of underlying generic concepts. The content of this book is divided into three parts: Part I, Images as Multidimensional Signals, provides the introduction to basic image processing theory, explaining it for both analogue and digital image representation. Part II, Imaging Systems as Data Sources, offers an alternative view on imaging modalities, with emphasis placed on analyzing internal signals and (pre)image data that are consequently processed. Part III, Image Processing and Analysis, focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods of image enhancement, and image restoration techniques. This section also explains concepts of fundamental-level image analysis – detailing local feature analysis, image segmentation, and generalized morphological transforms. It also addresses what is needed within the image processing environment by noting necessary hardware and software and processes for image archiving and communications.

Image Reconstruction and Restoration

Author : Anonim
Publisher : Unknown
Page : 408 pages
File Size : 55,8 Mb
Release : 1994
Category : Image reconstruction
ISBN : UOM:39015017435663

Get Book

Image Reconstruction and Restoration by Anonim Pdf

Image Restoration

Author : Aymeric Histace
Publisher : BoD – Books on Demand
Page : 386 pages
File Size : 43,6 Mb
Release : 2012-04-04
Category : Computers
ISBN : 9789535103882

Get Book

Image Restoration by Aymeric Histace Pdf

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

Author : Aymeric Histace
Publisher : IntechOpen
Page : 0 pages
File Size : 44,7 Mb
Release : 2012-04-04
Category : Computers
ISBN : 9535103881

Get Book

Image Restoration by Aymeric Histace Pdf

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.

Digital Imaging for Cultural Heritage Preservation

Author : Filippo Stanco,Sebastiano Battiato,Giovanni Gallo
Publisher : CRC Press
Page : 523 pages
File Size : 54,6 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781351833813

Get Book

Digital Imaging for Cultural Heritage Preservation by Filippo Stanco,Sebastiano Battiato,Giovanni Gallo Pdf

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.

Image Restoration

Author : Aymeric Histace
Publisher : IntechOpen
Page : 384 pages
File Size : 43,6 Mb
Release : 2012-04-04
Category : Computers
ISBN : 9535103881

Get Book

Image Restoration by Aymeric Histace Pdf

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.

Medical Image Processing, Reconstruction and Analysis

Author : Jiri Jan
Publisher : CRC Press
Page : 619 pages
File Size : 48,7 Mb
Release : 2019-08-30
Category : Medical
ISBN : 9781351387903

Get Book

Medical Image Processing, Reconstruction and Analysis by Jiri Jan Pdf

Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data

Handbook of Mathematical Models in Computer Vision

Author : Nikos Paragios,Yunmei Chen,Olivier D. Faugeras
Publisher : Springer Science & Business Media
Page : 612 pages
File Size : 42,9 Mb
Release : 2006-01-16
Category : Computers
ISBN : 9780387288314

Get Book

Handbook of Mathematical Models in Computer Vision by Nikos Paragios,Yunmei Chen,Olivier D. Faugeras Pdf

Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.

Regularized Image Reconstruction in Parallel MRI with MATLAB

Author : Joseph Suresh Paul,Raji Susan Mathew
Publisher : CRC Press
Page : 271 pages
File Size : 54,6 Mb
Release : 2019-11-05
Category : Medical
ISBN : 9781351029247

Get Book

Regularized Image Reconstruction in Parallel MRI with MATLAB by Joseph Suresh Paul,Raji Susan Mathew Pdf

Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples, or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful.

Image Reconstruction in Radiology

Author : J. A. Parker
Publisher : CRC Press
Page : 534 pages
File Size : 53,5 Mb
Release : 2018-01-18
Category : Law
ISBN : 9781351081818

Get Book

Image Reconstruction in Radiology by J. A. Parker Pdf

This one-of-a-kind resource provides a very readable description of the methods used for image reconstruction in magnetic resonance imaging, X-ray computed tomography, and single photon emission computed tomography. The goal of this fascinating work is to provide radiologists with a practical introduction to mathematical methods so that they may better understand the potentials and limitations of the images used to make diagnoses. Presented in four parts, this state-of-the-art text covers (1) an introduction to the models used in reconstruction, (2) an explanation of the Fourier transform, (3) a brief description of filtering, and (4) the application of these methods to reconstruction. In order to provide a better understanding of the reconstruction process, this comprehensive volume draws analogies between several different reconstruction methods. This informative reference is an absolute must for all radiology residents, as well as graduate students and professionals in the fields of physics, nuclear medicine, and computer-assisted tomography.