Shifted linear interpolation method based on the statistical features of the image

Hui Qian Du*, Wen Bo Mei, Guang Chuan Su

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To remove zigzag edges occurring in shift-linear interpolated image, this paper proposes an improved method based on the statistical features of the image. The basic idea is to estimate the edge pixels of the high-resolution image through the vectors and covariances obtained from its low-resolution counterpart according to their intrinsic geometric duality. While nonedge pixels are got via shifted linear interpolation algorithm. No iterative computation is needed in this algorithm. The application of this new interpolation algorithm shows that it can keep the contours and details of non-edged areas.

Original languageEnglish
Pages (from-to)526-529
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume25
Issue number6
Publication statusPublished - Jun 2005

Keywords

  • Image interpolation
  • Shifted-linear interpolation
  • Statistic feature

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