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Example Based Super Resolution

Author: Jordi Salvador
Publisher: Academic Press
ISBN: 0081011350
Size: 68.49 MB
Format: PDF, ePub
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Example-Based Super Resolution provides a thorough introduction and overview of example-based super resolution, covering the most successful algorithmic approaches and theories behind them with implementation insights. It also describes current challenges and explores future trends. Readers of this book will be able to understand the latest natural image patch statistical models and the performance limits of example-based super resolution algorithms, select the best state-of-the-art algorithmic alternative and tune it for specific use cases, and quickly put into practice implementations of the latest and most successful example-based super-resolution methods. Provides detailed coverage of techniques and implementation details that have been successfully introduced in diverse and demanding real-world applications Covers a wide variety of machine learning approaches, ranging from cross-scale self-similarity concepts and sparse coding, to the latest advances in deep learning Presents a statistical interpretation of the subspace of natural image patches that transcends super resolution and makes it a valuable source for any researcher on image processing or low-level vision

Iterative Interpolation Super Resolution Image Reconstruction

Author: Vivek Bannore
Publisher: Springer Science & Business Media
ISBN: 3642003842
Size: 42.40 MB
Format: PDF, ePub
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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.

Proceedings Of The Fourth International Conference On Signal And Image Processing 2012 Icsip 2012

Author: Mohan S
Publisher: Springer Science & Business Media
ISBN: 813221000X
Size: 63.86 MB
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The proceedings includes cutting-edge research articles from the Fourth International Conference on Signal and Image Processing (ICSIP), which is organised by Dr. N.G.P. Institute of Technology, Kalapatti, Coimbatore. The Conference provides academia and industry to discuss and present the latest technological advances and research results in the fields of theoretical, experimental, and application of signal, image and video processing. The book provides latest and most informative content from engineers and scientists in signal, image and video processing from around the world, which will benefit the future research community to work in a more cohesive and collaborative way.

Image Restoration

Author: Bahadir Kursat Gunturk
Publisher: CRC Press
ISBN: 1439869561
Size: 60.64 MB
Format: PDF, ePub
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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.

Intelligent Science And Intelligent Data Engineering

Author: Jian Yang
Publisher: Springer
ISBN: 3642366694
Size: 38.25 MB
Format: PDF, ePub, Docs
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This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2012, held in Nanjing, China, in October 2012. The 105 papers presented were carefully peer-reviewed and selected from 429 submissions. Topics covered include pattern recognition; computer vision and image processing; machine learning and computational intelligence; knowledge discovery, data mining, and web mining; graphics and computer visualization; and multimedia processing and applications.

Author: Brandon Sanderson
Publisher: Metaichmio Publications
ISBN: 618030579X
Size: 63.52 MB
Format: PDF
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Πριν από δέκα χρόνια ο Όλεθρος ήρθε στον κόσμο. Εμφανίστηκε σαν μια εκτυφλωτική λάμψη στον ουρανό και χάρισε υπεράνθρωπες δυνάμεις σε μια πλειάδα καθημερινών ανθρώπων. Πλημμυρισμένος από φόβο και δέος, ο υπόλοιπος κόσμος άρχισε να αποκαλεί τους ανθρώπους αυτούς Επικούς. Οι Επικοί, όμως, δεν είναι φιλικά διακείμενοι προς την ανθρωπότητα. Μαζί με τις απίστευτες ικανότητές τους απέκτησαν και το πάθος της εξουσίας και η απόλυτη εξουσία προϋποθέτει τη συντριβή του ελεύθερου ανθρώπινου πνεύματος. Στις μέρες μας, στο σημείο όπου κάποτε βρισκόταν η πόλη του Σικάγο, ο πανίσχυρος Επικός που είναι γνωστός ως Ατσαλόκαρδος κυβερνά ως τύραννος, προικισμένος με απίστευτη φυσική δύναμη και την ικανότητα να ελέγχει τα στοιχεία της φύσης. Οι φήμες λένε πως οι σφαίρες δεν μπορούν να τον βλάψουν, πως καμιά λεπίδα δεν μπορεί να τον πληγώσει, πως η φωτιά δεν τον αγγίζει... Είναι άτρωτος, ανίκητος. Κανείς δεν τολμά να του αντισταθεί. Κανείς… εκτός από τους Τιμωρούς. Οι Τιμωροί είναι μια μυστηριώδης ομάδα απλών ανθρώπων που έχουν αφιερώσει τη ζωή τους στη μελέτη των Επικών. Σκοπός τους είναι να ανακαλύψουν τα αδύνατα σημεία τους και να καταφέρουν κάποτε να τους αφανίσουν. Ο νεαρός Ντέιβιντ θέλει όσο τίποτα στον κόσμο να γίνει μέλος των Τιμωρών. Λίγο μετά την άφιξή του στο Σικάγο, ο Ατσαλόκαρδος δολοφόνησε τον πατέρα του Ντέιβιντ. Όπως ακριβώς και οι Τιμωροί, ο Ντέιβιντ μελετά εδώ και χρόνια τους Επικούς, καταστρώνοντας σχέδια για την εξάλειψή τους. Το μεγάλο του όπλο στην προσπάθεια αυτή, όμως, δεν είναι κάποιο αντικείμενο αλλά μια ανάμνηση, που οι Τιμωροί έχουν ανάγκη για να εκπληρώσουν την αποστολή τους. Έχει δει τον Ατσαλόκαρδο να ματώνει. Κι η καρδιά του διψά για εκδίκηση.

Intelligent Data Engineering And Automated Learning Ideal 2013

Author: Hujun Yin
Publisher: Springer
ISBN: 3642412785
Size: 27.91 MB
Format: PDF, ePub
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This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

Computer Vision Eccv 2006

Author: Aleš Leonardis
Publisher: Springer Science & Business Media
ISBN: 3540338381
Size: 42.74 MB
Format: PDF
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The four-volume set comprising LNCS volumes 3951/3952/3953/3954 constitutes the refereed proceedings of the 9th European Conference on Computer Vision, ECCV 2006, held in Graz, Austria, in May 2006. The 192 revised papers presented were carefully reviewed and selected from a total of 811 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, face detection and recognition, illumination and reflectance modeling, and low-level vision, segmentation and grouping.