Computationally Efficient Super Resolution Algorithm PDF Download
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Author: Raunaq Singh Kainth
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Super resolution image can be obtained from combining several low resolution noisy and blurred images. We propose an efficient algorithm to produce super resolution microscopic images. In the proposed algorithm, accurate sub-pixel motion between images is essential for reconstructing the image. Denoising is carried initially by adjusting the low resolution images. Shift fusion approach is applied to enhance the resolution of image and improved optical flow method is used for registration of images. The proposed method is applied to each color channel separately. The results are tested with synthetic downgraded images, popular low resolution datasets and experimental real-life images showing significant improvement in quality of images, with considerable less time cost and memory consumption than those of existing methods. Qualitative analysis is studied through edge detection method and observing visible features. Quantitative analysis is inspected showing improvement in resolution by measuring observable minimum distance.
Author: Raunaq Singh Kainth
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Super resolution image can be obtained from combining several low resolution noisy and blurred images. We propose an efficient algorithm to produce super resolution microscopic images. In the proposed algorithm, accurate sub-pixel motion between images is essential for reconstructing the image. Denoising is carried initially by adjusting the low resolution images. Shift fusion approach is applied to enhance the resolution of image and improved optical flow method is used for registration of images. The proposed method is applied to each color channel separately. The results are tested with synthetic downgraded images, popular low resolution datasets and experimental real-life images showing significant improvement in quality of images, with considerable less time cost and memory consumption than those of existing methods. Qualitative analysis is studied through edge detection method and observing visible features. Quantitative analysis is inspected showing improvement in resolution by measuring observable minimum distance.
Author: Anand Deshpande
Publisher: Springer Nature
ISBN: 3030679217
Category : Technology & Engineering
Languages : en
Pages : 308
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Book Description
This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities.
Author: Thomas C. Pestak
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 83
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Book Description
There is a growing demand from numerous commercial and military applications for images with ever-improving spatial resolution. However, there are resolution-limiting factors inherent in all imaging systems. Decreasing pixel sizes and/or increasing sensor arrays are not always viable. Super-Resolution (SR) Image Reconstruction is an image processing technique that restores a high-resolution (HR) image from a series of low-resolution (LR) images of a particular scene. Recently, there has been extensive research on robust SR algorithms used for post-processing. The goal of this thesis is to explore the current SR research and design computationally efficient SR algorithms for real-time processing based on a non-uniform interpolation approach.
Author: DAGM (Organization). Symposium
Publisher: Springer Science & Business Media
ISBN: 3540693203
Category : Computers
Languages : en
Pages : 551
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Book Description
This book constitutes the refereed proceedings of the 30th Symposium of the German Association for Pattern Recognition, DAGM 2008, held in Munich, Germany, in June 2008. The 53 revised full papers were carefully reviewed and selected from 136 submissions. The papers are organized in topical sections on learning and classification, tracking, medical image processing and segmentation, audio, speech and handwriting recognition, multiview geometry and 3D-reconstruction, motion and matching, and image analysis.
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: Vivek Sudhir Bannore
Publisher:
ISBN:
Category : Computer graphics
Languages : en
Pages : 286
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Book Description
Author: Peyman Milanfar
Publisher: CRC Press
ISBN: 1439819319
Category : Computers
Languages : en
Pages : 490
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Book Description
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.
Author: Bartus Michael Byerley
Publisher:
ISBN:
Category :
Languages : en
Pages : 286
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Book Description
Author: Vivek Bannore
Publisher: Springer
ISBN: 3642003850
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: 0387259082
Category : Computers
Languages : en
Pages : 246
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Book Description
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.
