Iterative Interpolation Super Resolution Image Reconstruction

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Iterative Interpolation Super Resolution Image Reconstruction

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Author : Vivek Bannore
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-08

Iterative Interpolation Super Resolution Image Reconstruction written by Vivek Bannore 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 2009-04-08 with Mathematics categories.

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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Author : Vivek Sudhir Bannore
language : en
Publisher:
Release Date : 2008

Computationally Efficient Iterative Interpolation Super Resolution Image Reconstruction Scheme written by Vivek Sudhir Bannore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computer graphics categories.

Electromagnetic Information Leakage And Countermeasure Technique

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Author : Taikang Liu
language : en
Publisher: Springer
Release Date : 2019-05-14

Electromagnetic Information Leakage And Countermeasure Technique written by Taikang Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-14 with Technology & Engineering categories.

This book presents a model of electromagnetic (EM) information leakage based on electromagnetic and information theory. It discusses anti-leakage, anti-interception and anti-reconstruction technologies from the perspectives of both computer science and electrical engineering. In the next five years, the threat posed by EM information leakage will only become greater, and the demand for protection will correspondingly increase. The book systematically introduces readers to the theory of EM information leakage and the latest technologies and measures designed to counter it, and puts forward an EM information leakage model that has established the foundation for new research in this area, paving the way for new technologies to counter EM information leakage. As such, it offers a valuable reference guide for all researchers and engineers involved in EM information leakage and countermeasures.

Optimization Techniques In Computer Vision

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Author : Mongi A. Abidi
language : en
Publisher: Springer
Release Date : 2016-12-06

Optimization Techniques In Computer Vision written by Mongi A. Abidi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-06 with Computers categories.

This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc. Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.

Algorithm Soc Design For Automotive Vision Systems

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Author : Jaeseok Kim
language : en
Publisher: Springer
Release Date : 2014-06-29

Algorithm Soc Design For Automotive Vision Systems written by Jaeseok Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-29 with Technology & Engineering categories.

An emerging trend in the automobile industry is its convergence with information technology (IT). Indeed, it has been estimated that almost 90% of new automobile technologies involve IT in some form. Smart driving technologies that improve safety as well as green fuel technologies are quite representative of the convergence between IT and automobiles. The smart driving technologies include three key elements: sensing of driving environments, detection of objects and potential hazards and the generation of driving control signals including warning signals. Although radar-based systems are primarily used for sensing the driving environments, the camera has gained importance in advanced driver assistance systems (ADAS). This book covers system-on-a-chip (SoC) designs—including both algorithms and hardware—related with image sensing and object detection by using the camera for smart driving systems. It introduces a variety of algorithms such as lens correction, super resolution, image enhancement and object detections from the images captured by low-cost vehicle camera. This is followed by implementation issues such as SoC architecture, hardware accelerator, software development environment and reliability techniques for automobile vision systems. This book is aimed for the new and practicing engineers in automotive and chip-design industries to provide some overall guidelines for the development of automotive vision systems. It will also help graduate students understand and get started for the research work in this field.

Application Of Intelligent Systems In Multi Modal Information Analytics

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Author : Vijayan Sugumaran
language : en
Publisher: Springer Nature
Release Date : 2022-06-13

Application Of Intelligent Systems In Multi Modal Information Analytics written by Vijayan Sugumaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-13 with Technology & Engineering categories.

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.

Intelligent Information Processing Iii

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Author : K. Shimohara
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-14

Intelligent Information Processing Iii written by K. Shimohara 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 2007-11-14 with Computers categories.

As the world proceeds quickly into the Information Age, it encounters both successes and challenges, and it is well recognized that Intelligent Information Processing provides the key to the Information Age and to mastering many of these challenges. Intelligent Information Processing supports the most advanced productive tools that are said to be able to change human life and the world itself. However, the path is never a straight one and every new technology brings with it a spate of new research problems to be tackled by researchers. As such, the demand for Information Processing research is ever-increasing. This book presents the proceedings of the 4th IFIP International Conference on Intelligent Information Processing. This conference provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in all aspects of Intelligent Information Processing.

Intelligent Computing Methodologies

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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2018-08-08

Intelligent Computing Methodologies written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-08 with Computers categories.

This book constitutes - in conjunction with the two-volume set LNCS 10954 and LNCS 10955 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Pattern Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Biomedical Informatics Theory and Methods; Swarm Intelligence and Optimization; Natural Computing; Quantum Computing; Intelligent Computing in Computer Vision; Fuzzy Theory and Algorithms; Machine Learning; Systems Biology; Intelligent Systems and Applications for Bioengineering; Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics; Swarm Evolutionary Algorithms for Scheduling and Combinatorial Optimization; Swarm Intelligence and Applications in Combinatorial Qoptimization; Advances in Metaheuristic Optimization Algorithm; Advances in Image Processing and Pattern Techniques; Bioinformatics.

Digital Image Sequence Processing Compression And Analysis

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Author : Todd R. Reed
language : en
Publisher: CRC Press
Release Date : 2004-07-27

Digital Image Sequence Processing Compression And Analysis written by Todd R. Reed and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-27 with Technology & Engineering categories.

Digital image sequences (including digital video) are increasingly common and important components in technical applications ranging from medical imaging and multimedia communications to autonomous vehicle navigation. The immense popularity of DVD video and the introduction of digital television make digital video ubiquitous in the consumer domain. Digital Image Sequence Processing, Compression, and Analysis provides an overview of the current state of the field, as analyzed by leading researchers. An invaluable resource for planning and conducting research in this area, the book conveys a unified view of potential directions for further industrial development. It offers an in-depth treatment of the latest perspectives on processing, compression, and analysis of digital image sequences. Research involving digital image sequences remains extremely active. The advent of economical sequence acquisition, storage, and display devices, together with the availability of computing power, opens new areas of opportunity. This volume delivers the background necessary to understand the strengths and weaknesses of current techniques and the directions that consumer and technical applications may take over the coming decade.

Foundations Of Computational Intelligence Volume 3

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Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-27

Foundations Of Computational Intelligence Volume 3 written by Ajith Abraham 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 2009-04-27 with Computers categories.

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.