Super-sampling by learning-based super-resolution Online publication date: Wed, 11-Mar-2020
by Ping Du; Jinhuan Zhang; Jun Long
International Journal of Computational Science and Engineering (IJCSE), Vol. 21, No. 2, 2020
Abstract: In this paper, we present a novel problem of intelligent image processing, which is how to infer a finer image in terms of intensity levels for a given image. We explain the motivation for this effort and present a simple technique that makes it possible to apply the existing learning-based super-resolution methods to this new problem. As a result of the adoption of the intelligent methods, the proposed algorithm needs notably little human assistance. We also verify our algorithm experimentally in the paper.
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