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Titlebook: Iterative-Interpolation Super-Resolution Image Reconstruction; A Computationally Ef Vivek Bannore Book 2009 Springer-Verlag Berlin Heidelbe

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書(shū)目名稱Iterative-Interpolation Super-Resolution Image Reconstruction
副標(biāo)題A Computationally Ef
編輯Vivek Bannore
視頻videohttp://file.papertrans.cn/477/476594/476594.mp4
概述Latest research in the area of computationally efficient and intelligent image super-resolution techniques.Concise overview about advanced intelligent image super-resolution techniques
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Iterative-Interpolation Super-Resolution Image Reconstruction; A Computationally Ef Vivek Bannore Book 2009 Springer-Verlag Berlin Heidelbe
描述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 camer
出版日期Book 2009
關(guān)鍵詞Computational Intelligence; Image Processing; Intelligent Image Super-resolution Techniques; Interpolat
版次1
doihttps://doi.org/10.1007/978-3-642-00385-1
isbn_softcover978-3-642-10145-8
isbn_ebook978-3-642-00385-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Overview of Super-Resolution Techniques,essed the introduction of many techniques in order to achieve high-resolution images from a sequence of geometrically warped, blurred, noisy, and under-sampled low-resolution images. Each of these techniques is either an extension of some previous methodologies or differs from the other techniques i
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Optimization Approach to Super-Resolution Image Reconstruction,is now widely known to be intrinsically unstable or “ill-conditioned”. The common feature of such ill-conditioned problems is that the small variations in the observed images can cause (arbitrary) large changes in the reconstruction. This sensitivity of the reconstruction process on the input data e
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Software Framework,e all been included in the above two mentioned softwares. For a better understanding, principle block diagrams for each of the above softwares will be presented. Each software package comprises of several routines which will be illustrated as modules in the principle block diagram of that software p
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