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Super-Sampling by Learning-Based Super-Resolution

  • Ping Du
  • Jinhuan Zhang
  • Jun LongEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11338)

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 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Information Science and EngineeringCentral South UniversityChangshaChina

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