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IterativeInterpolation SuperResolution Image Reconstruction: A Computationally Efficient Technique (Studies in Computational I,Used
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To my wife, Mitu Vivek Bannore Preface Preface In many imaging systems, undersampling 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. SuperResolution is an image reconstruction technique that enhances a sequence of lowresolution images or video frames by increasing the spatial resolution of the images. Each of these lowresolution images contain only incomplete scene information and are geometrically warped, aliased, and dersampled. Superresolution technique intelligently fuses the incomplete scene information from several consecutive lowresolution 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 highquality highresolution 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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