Image super-resolution using supervised multi-scale feature extraction network
Multim. Tools Appl., pp. 1995-2008, 2020.
Image super-resolution using deep convolutional networks have recently achieved great successes. However, previous studies have failed to consider the spatial information by simply using a single-size filter, and they do not take full advantage of hierarchical features from low-resolution images, thereby these results are unsatisfactory. ...More
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