Restoration Of Images In The Presence Of Rician Noise And In The Presence Of Atmospheric Turbulence
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Restoration Of Images In The Presence Of Rician Noise And In The Presence Of Atmospheric Turbulence
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Author : Melissa Yin Tong
language : en
Publisher:
Release Date : 2012
Restoration Of Images In The Presence Of Rician Noise And In The Presence Of Atmospheric Turbulence written by Melissa Yin Tong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
This thesis is divided into two parts. In the first part, we will discuss the problem of restoring magnetic resonance (MR) images corrupted by blur and Rician noise. We discuss the formation of MR signals and how Rician noise is introduced into these images as a result of the MR acquisition process. Information about the Rician probability distribution and motivation for our proposed variational restoration model is then given. We show the existence of a minimizer and a comparison result. We also perform numerical experiments and comparisons using L^2 and H^1 gradient descent schemes to show the validity of our proposed model. This leads to a related second model that denoises High Angular Resolution Diffusion Imaging (HARDI) data, which is a modality of MR data that is used in reconstructing fiber pathways in the brain. HARDI data is vectorial data of dimension equal to the number of diffusion directions. This data can be used as input to calculate fractional anisotropy (FA) or orientation distribution functions (ODFs) which in turn are used to track fibers in the brain. Having denoised data may lead to more accurate fiber extractions. We test our proposed HARDI denoising model on various data sets, and various metrics are used to gauge improvements after denoising. In the second part of this thesis, we study the problem of restoring images distorted by atmospheric turbulence. Geometric distortions and blur are the two main components of degradations due to atmospheric turbulence, and prior work has been done to address these components separately. We propose a joint variational deblurring and geometric distortion correction model and give preliminary results.
Restoring Images In The Presence Of Noise
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Author : Chao-Ming Chang
language : en
Publisher:
Release Date : 1993
Restoring Images In The Presence Of Noise written by Chao-Ming Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Fundamental Limitations On Image Restoration
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Author : Richard G. Barakat
language : en
Publisher:
Release Date : 1974
Fundamental Limitations On Image Restoration written by Richard G. Barakat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with categories.
The objective of this program is the analysis of the fundamental limitations placed upon image restoration by the presence of noise and unavoidable atmospheric and optical system degradations. The approach is to treat individually and in concert the several factors which limit image formation (direct problem) and further limit image restoration (inverse problem), to understand their interrelation and order of importance.
Image Restoration In The Presence Of Poisson Noise
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Author : Mark J. Morisi
language : en
Publisher:
Release Date : 1985
Image Restoration In The Presence Of Poisson Noise written by Mark J. Morisi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
Unified Approach To Restoring Degraded Images In The Presence Of Noise
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Author : Ronald S. Hershel
language : en
Publisher:
Release Date : 1971
Unified Approach To Restoring Degraded Images In The Presence Of Noise written by Ronald S. Hershel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.
Digital Image Restoration
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Author : Aggelos Konstantinos Katsaggelos
language : en
Publisher: Springer
Release Date : 1991
Digital Image Restoration written by Aggelos Konstantinos Katsaggelos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
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 In The Presence Of Bad Pixels
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Author : Brandon J. Brys
language : en
Publisher:
Release Date : 2010
Image Restoration In The Presence Of Bad Pixels written by Brandon J. Brys and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Digital images categories.
Spatially varying temporal noise can occur in imaging sensors from nonuniform responsivity of the detectors in the focal plane detector array. Furthermore, some pixels can have extreme responsivities or simply be unresponsive altogether. Such "bad pixels" must be detected and addressed to provide the best possible imagery from a given sensor. Restoration in the presence of bad pixels is a particularly important problem in infrared imaging systems, but it is also an issue with many other camera systems. Bad pixels are traditionally treated by some form of replacement. Rather than performing a simple pixel replacement followed by traditional image restoration, we believe that a superior method of performing restoration in the presence of bad pixels is to perform the restoration and bad pixel replacement jointly. This way, we are able to exploit knowledge of each pixel's characteristics in the restoration process. When a simple pixel replacement method is used, knowledge of which pixel was originally bad is often lost and not exploited in any subsequent image restoration. In this thesis we propose and compare two methods for scene-based bad pixel detection. We also adapt the FIR adaptive Wiener Filter (AWF) to perform image restoration in the presence of bad pixels on other forms of spatially varying noise. The AWF estimates each pixel using a weighted sum of neighboring pixel values. The weights are determined based on spatially varying autocorrelation models which may use specific knowledge of each pixel's noise characteristics. We propose a fast version of the AWF that is able to handle the bad pixels by using pre-computed weights in a table look-up process. We also propose a modified version of the Non-Local Means (NLM) filter that is robust in handling bad pixels, as it provides background noise reduction. We quantitatively and subjectively compare the performance of the AWF and NLM methods along with several other benchmark restoration methods using simulated images with spatially varying noise and bad pixels. We use both simulated and real infrared imagery to test the proposed algorithms. A computational complexity analysis is also provided to provide further insight into the comparison between the AWF and NLM methods.
Image Restoration
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Author : Bahadir Kursat Gunturk
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Image Restoration written by Bahadir Kursat Gunturk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Computers categories.
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.
Digital Image Restoration
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Author : Aggelos K. Katsaggelos
language : en
Publisher: Springer
Release Date : 1991
Digital Image Restoration written by Aggelos K. Katsaggelos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
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.
Restoration Of Image Sequences Degraded By Atmospheric Turbulence
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Author : Ronen Gal
language : en
Publisher:
Release Date : 2013
Restoration Of Image Sequences Degraded By Atmospheric Turbulence written by Ronen Gal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.