Restoring Images In The Presence Of Noise
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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.
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.
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.
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.
Iterative Identification And Restoration Of Images
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Author : Reginald L. Lagendijk
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Iterative Identification And Restoration Of Images written by Reginald L. Lagendijk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
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.
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 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 By Removing Noise From Images
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Author : Diljeet Singh Chundawat
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2014-12-25
Image Restoration By Removing Noise From Images written by Diljeet Singh Chundawat and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-25 with categories.
One of the long-standing challenges in photography is noise. Noise artifacts are generated from relative motion between a camera and a scene during exposure. While noise can be reduced by using a shorter exposure, this comes at an unavoidable trade-off with increased noise. Therefore, it is desirable to remove noise computationally. To remove noise, we need to (i) estimate how the image is noised (i.e. the blur kernel or the point-spread function) and (ii) restore a natural looking image through deconvolution. Blur kernel estimation is challenging because the algorithm needs to distinguish the correct image- blur pair from incorrect ones that can also adequately explain the blurred image. Deconvolution is also difficult because the algorithm needs to restore high frequency image contents attenuated by noise. This work started by development of Image deblurring using proposed algorithm, which is Modified RadonMAP algorithm.
Theory Applications Of Image Analysis
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Author : P. Johansen
language : en
Publisher: World Scientific
Release Date : 1992
Theory Applications Of Image Analysis written by P. Johansen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Technology & Engineering categories.
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.
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.