Title: Super-sampling by learning-based super-resolution

Authors: Ping Du; Jinhuan Zhang; Jun Long

Addresses: School of Information Science and Engineering, Central South University, Changsha, 410083, Hunan, China ' School of Information Science and Engineering, Central South University, Changsha, 410083, Hunan, China ' School of Information Science and Engineering, Central South University, Changsha, 410083, Hunan, China

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.

Keywords: texture synthesis; super-resolution; image manifold.

DOI: 10.1504/IJCSE.2019.10020177

International Journal of Computational Science and Engineering, 2020 Vol.21 No.2, pp.249 - 257

Received: 24 Jan 2018
Accepted: 12 Jun 2018

Published online: 11 Mar 2020 *

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