Computationally Efficient Iterative Interpolation Super Resolution Image Reconstruction Scheme


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Computationally Efficient Iterative-interpolation Super-resolution Image Reconstruction Scheme


Computationally Efficient Iterative-interpolation Super-resolution Image Reconstruction Scheme

Author: Vivek Sudhir Bannore

language: en

Publisher:

Release Date: 2008


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Iterative-Interpolation Super-Resolution Image Reconstruction


Iterative-Interpolation Super-Resolution Image Reconstruction

Author: Vivek Bannore

language: en

Publisher: Springer Science & Business Media

Release Date: 2009-04-08


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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.

Knowledge-Based Intelligent Information and Engineering Systems


Knowledge-Based Intelligent Information and Engineering Systems

Author: Bruno Apolloni

language: en

Publisher: Springer

Release Date: 2007-09-12


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This book is part of a three-volume set that constitutes the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007. Coverage in this first volume includes artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, and information engineering and applications in ubiquitous computing environments.