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Iterative-Interpolation Super-Resolution Image Reconstruction - A Computationally Efficient Technique (Hardcover, 2009 ed.)
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Iterative-Interpolation Super-Resolution Image Reconstruction - A Computationally Efficient Technique (Hardcover, 2009 ed.)
Series: Studies in Computational Intelligence, 195
Expected to ship within 10 - 15 working days
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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.
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