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Image restoration and image enhancement are key computer vision tasks, aiming at the restoration of degraded image content or the filling in of missing information. Recent years have witnessed an incr...
In this paper, we propose a novel image super-resolution algorithm, referred to as interpolation based on transductive regression with local and globalconsistency (TRLGC). Our algorithmfirst con...
Traditional super resolution (SR) methods based on sparse representation have shown their excellent performance, however, the methods usually perform even worse when the input images and the training ...
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently...
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-resolution manifold sh...

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