Nonlinear image upsampling method based on radial basis function interpolation

Yeon Ju Lee, Jungho Yoon

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

In this paper, we present a novel edge-directed upsampling method based on radial basis function (RBF) interpolation. In order to remove artifacts such as blurred edges or blocking effects, we suggest a nonlinear method capable of taking edge information into account. The resampling evaluation is determined according to the edge orientation. The proposed scheme is as simple to implement as linear methods but it demonstrates improved visual quality by preserving the edge features better than the classical linear interpolation methods. The algorithm is compared with some well-known linear schemes as well as recently developed nonlinear schemes. The resulting images demonstrate the new algorithm's ability to magnify an image while preserving the edge features.

Original languageEnglish
Pages (from-to)2682-2692
Number of pages11
JournalIEEE Transactions on Image Processing
Volume19
Issue number10
DOIs
StatePublished - Oct 2010

Keywords

  • Curvature
  • Edge-directed interpolation
  • Image upsampling
  • Radial basis function (RBF)

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