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Recent years have witnessed significant progress in detection of basic human actions. However, most existing methods rely on assumptions such as known spatial locations and temporal segmentations or employ very computationally expensive approaches such as sliding window search through a spatio-temporal volume. It is difficult for such methods to scale up to handle the challenges in real applications...
Designing effective image priors is of great interest to image super-resolution (SR), which is a severely under-determined problem. An edge smoothness prior is favored since it is able to suppress the jagged edge artifact effectively. However, for soft image edges with gradual intensity transitions, it is generally difficult to obtain analytical forms for evaluating their smoothness. This paper characterizes...
The paper focuses on reconstructing the discontinuity between homogenous color regions in an interpolated image to improve its perceptual quality. A low-resolution input image is firstly interpolated and then decomposed into several patches. Each patch is then segmented into multiple homogenous regions using connected component analysis technique. Then a spatial-filter is applied to enhance the color/intensity...
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