Iterative-Interpolation Super-Resolution Image Reconstruction

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Release : 2009-04-08
Genre : Mathematics
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Book Rating : 842/5 ( reviews)

Iterative-Interpolation Super-Resolution Image Reconstruction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Iterative-Interpolation Super-Resolution Image Reconstruction write by Vivek Bannore. This book was released on 2009-04-08. Iterative-Interpolation Super-Resolution Image Reconstruction available in PDF, EPUB and Kindle. 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.

Computationally Efficient Iterative-interpolation Super-resolution Image Reconstruction Scheme

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Release : 2008
Genre : Computer graphics
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Book Rating : /5 ( reviews)

Computationally Efficient Iterative-interpolation Super-resolution Image Reconstruction Scheme - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computationally Efficient Iterative-interpolation Super-resolution Image Reconstruction Scheme write by Vivek Sudhir Bannore. This book was released on 2008. Computationally Efficient Iterative-interpolation Super-resolution Image Reconstruction Scheme available in PDF, EPUB and Kindle.

Super-Resolution Imaging

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Release : 2017-12-19
Genre : Computers
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Book Rating : 319/5 ( reviews)

Super-Resolution Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Super-Resolution Imaging write by Peyman Milanfar. This book was released on 2017-12-19. Super-Resolution Imaging available in PDF, EPUB and Kindle. With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next "killer app." The growing interest in this technology has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the latest in both theoretical and practical aspects of direct relevance to academia and industry, providing a base of understanding for future progress. Features downloadable tools to supplement material found in the book Recent advances in camera sensor technology have led to an increasingly larger number of pixels being crammed into ever-smaller spaces. This has resulted in an overall decline in the visual quality of recorded content, necessitating improvement of images through the use of post-processing. Providing a snapshot of the cutting edge in super-resolution imaging, this book focuses on methods and techniques to improve images and video beyond the capabilities of the sensors that acquired them. It covers: History and future directions of super-resolution imaging Locally adaptive processing methods versus globally optimal methods Modern techniques for motion estimation How to integrate robustness Bayesian statistical approaches Learning-based methods Applications in remote sensing and medicine Practical implementations and commercial products based on super-resolution The book concludes by concentrating on multidisciplinary applications of super-resolution for a variety of fields. It covers a wide range of super-resolution imaging implementation techniques, including variational, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. This versatile book can be used as the basis for short courses for engineers and scientists, or as part of graduate-level courses in image processing.

Image Super-Resolution and Applications

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Release : 2012-12-15
Genre : Computers
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Book Rating : 966/5 ( reviews)

Image Super-Resolution and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Image Super-Resolution and Applications write by Fathi E. Abd El-Samie. This book was released on 2012-12-15. Image Super-Resolution and Applications available in PDF, EPUB and Kindle. 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.

Computer Vision, Imaging and Computer Graphics – Theory and Applications

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Release : 2019-01-22
Genre : Computers
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Book Rating : 093/5 ( reviews)

Computer Vision, Imaging and Computer Graphics – Theory and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Vision, Imaging and Computer Graphics – Theory and Applications write by Ana Paula Cláudio. This book was released on 2019-01-22. Computer Vision, Imaging and Computer Graphics – Theory and Applications available in PDF, EPUB and Kindle. This book constitutes thoroughly revised and selected papers from the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017, held in Porto, Portugal, February 27 - March 1, 2017. The 18 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 402 submissions. The papers contribute to the understanding of relevant trends of current research on image and video formation, preprocessing, analysis and understanding; motion, tracking and stereo vision; computer graphics and rendering; data visualization and interactive visual data analysis; agent-based human-robot interactions; and user experience.