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Author: 李承翰
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: 李承翰
Publisher:
ISBN:
Category :
Languages : en
Pages :
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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.
Author: Chin-Ko Yau
Publisher: Open Dissertation Press
ISBN: 9781374728929
Category : Mathematics
Languages : en
Pages : 74
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Book Description
This dissertation, "Super-resolution Image Restoration From Multiple Decimated, Blurred and Noisy Images" by Chin-ko, Yau, 游展高, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled SUPER-RESOLUTION IMAGE RESTORATION FROM MULTIPLE DECIMATED, BLURRED AND NOISY IMAGES Submitted by YAU Chin-Ko for the degree of Master of Philosophy at The University of Hong Kong in August 2004 In this thesis, super-resolution image restoration problems from several dec- imated, blurred and noisy low-resolution image frames are studied. The high- resolution restored image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. In the recent paper written by Raj an and Chaudhrui, two imaging models are presented to restore super-resolution images. In the first model, images are first downsampled, and then blurred. In the second model, images are first blurred, and then downsampled. Noises are added into the resultant low-resolution images. These two imaging models are commonly used in the literature. Two imaging boundary conditions are considered and discussed, namely the periodic boundary condition and the zero boundary condition. For these two boundary conditions, their corresponding blurring matrices are different. They are studied in details in the thesis. For the periodic boundary condition, it can be shown that the high-resolution can be restored efficiently by using fast Fourier transforms in two imaging models. The computational cost of the computation of such high-resolution images is of 0(g2m2logm) where q is the downsampling ratio and m is the size of the low- resolution image.For the zero boundary condition, the preconditioned conjugate gradient (PCG) method is applied to restore high-resolution images with circulant preconditioners constructed by using the periodic boundary condition on the blurring matrices. The experimental results show that such method can speed up by about 5/4 times faster than the method without using preconditioners. Numerical results are given to illustrate the effectiveness of the restoration of high-resolution images by the proposed algorithm. Finally, experimental results are also given to compare two imaging models. The results show that both imaging models can give high quality of restored im- ages. The usage of imaging models depends on the implementation of imaging hardware in practical applications. DOI: 10.5353/th_b3029252 Subjects: Image reconstruction Image processing - Digital techniques
Author: Subhasis Chaudhuri
Publisher: Springer Science & Business Media
ISBN: 0306470047
Category : Computers
Languages : en
Pages : 287
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Book Description
Super-Resolution Imaging serves as an essential reference for both academicians and practicing engineers. It can be used both as a text for advanced courses in imaging and as a desk reference for those working in multimedia, electrical engineering, computer science, and mathematics. The first book to cover the new research area of super-resolution imaging, this text includes work on the following groundbreaking topics: Image zooming based on wavelets and generalized interpolation; Super-resolution from sub-pixel shifts; Use of blur as a cue; Use of warping in super-resolution; Resolution enhancement using multiple apertures; Super-resolution from motion data; Super-resolution from compressed video; Limits in super-resolution imaging. Written by the leading experts in the field, Super-Resolution Imaging presents a comprehensive analysis of current technology, along with new research findings and directions for future work.
Author: Fathi E. Abd El-Samie
Publisher: CRC Press
ISBN: 1466557966
Category : Computers
Languages : en
Pages : 505
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Book Description
This book is devoted to the issue of image super-resolution—obtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, there’s been a need for a book that establishes a common thread between the two processes. Filling this need, Image Super-Resolution and Applications presents image interpolation as a building block in the super-resolution reconstruction process. Instead of approaching image interpolation as either a polynomial-based problem or an inverse problem, this book breaks the mold and compares and contrasts the two approaches. It presents two directions for image super-resolution: super-resolution with a priori information and blind super-resolution reconstruction of images. It also devotes chapters to the two complementary steps used to obtain high-resolution images: image registration and image fusion. Details techniques for color image interpolation and interpolation for pattern recognition Analyzes image interpolation as an inverse problem Presents image registration methodologies Considers image fusion and its application in image super resolution Includes simulation experiments along with the required MATLAB® code Supplying complete coverage of image-super resolution and its applications, the book illustrates applications for image interpolation and super-resolution in medical and satellite image processing. It uses MATLAB® programs to present various techniques, including polynomial image interpolation and adaptive polynomial image interpolation. MATLAB codes for most of the simulation experiments supplied in the book are included in the appendix.
Author: A. Murat Tekalp
Publisher:
ISBN: 9781680839722
Category :
Languages : en
Pages : 0
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Book Description
In this monograph, an overview of recent developments and the state-of-the-art in image/video restoration and super-resolution (SR) using deep learning is presented. Deep learning has made a significant impact, not only on computer vision and natural language processing but also on classical signal processing problems such as image/video restoration/SR and compression. Recent advances in neural architectures led to significant improvements in the performance of learned image/video restoration and SR. An important benefit of data-driven deep learning approaches is that neural models can be optimized for any differentiable loss function, including visual perceptual loss functions, leading to perceptual video restoration and SR, which cannot be easily handled by traditional model-based approaches. The publication starts with a problem statement and a short discussion on traditional vs. data-driven solutions. Thereafter, recent advances in neural architectures are considered, and the loss functions and evaluation criteria for image/video restoration and SR are discussed. Also considered are the learned image restoration and SR, as learning either a mapping from the space of degraded images to ideal images based on the universal approximation theorem, or a generative model that captures the probability distribution of ideal images. Practical problems in applying supervised training to real-life restoration and SR are also included, as well as the solution models. In the section on learned video SR, approaches to exploit temporal correlations in learned video processing are covered, and then the perceptual optimization of the network parameters to obtain natural texture and motion is discussed. A comparative discussion of various approaches concludes the publication.
Author: Vivek Bannore
Publisher: Springer Science & Business Media
ISBN: 3642003842
Category : Mathematics
Languages : en
Pages : 121
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Book Description
To my wife, Mitu - Vivek Bannore Preface Preface In many imaging systems, under-sampling and aliasing occurs frequently leading to degradation of image quality. Due to the limited number of sensors available on the digital cameras, the quality of images captured is also limited. Factors such as optical or atmospheric blur and sensor noise can also contribute further to the d- radation of image quality. Super-Resolution is an image reconstruction technique that enhances a sequence of low-resolution images or video frames by increasing the spatial resolution of the images. Each of these low-resolution images contain only incomplete scene information and are geometrically warped, aliased, and - der-sampled. Super-resolution technique intelligently fuses the incomplete scene information from several consecutive low-resolution frames to reconstruct a hi- resolution representation of the original scene. In the last decade, with the advent of new technologies in both civil and mi- tary domain, more computer vision applications are being developed with a demand for high-quality high-resolution images. In fact, the demand for high- resolution images is exponentially increasing and the camera manufacturing te- nology is unable to cope up due to cost efficiency and other practical reasons.
Author: Subhasis Chaudhuri
Publisher: Springer Science & Business Media
ISBN: 9780387258904
Category : Computers
Languages : en
Pages : 264
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Motion-Free Super-Resolution is a compilation of very recent work on various methods of generating super-resolution (SR) images from a set of low-resolution images. The current literature on this topic deals primarily with the use of motion cues for the purpose of generating SR images. These cues have, it is shown, their advantages and disadvantages. In contrast, this book shows that cues other than motion can also be used for the same purpose, and addresses both the merits and demerits of these new techniques. Motion-Free Super-Resolution supersedes much of the lead author’s previous edited volume, "Super-Resolution Imaging," and includes an up-to-date account of the latest research efforts in this fast-moving field. This sequel also features a style of presentation closer to that of a textbook, with an emphasis on teaching and explanation rather than scholarly presentation.
Author: Chiman Kwan
Publisher: BoD – Books on Demand
ISBN: 1839683554
Category : Computers
Languages : en
Pages : 180
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Book Description
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.
Author: Chin-ko Yau
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 120
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