Shifted linear interpolation filter

H. Olkkonen (Corresponding Author), Juuso T. Olkkonen (Corresponding Author)

Research output: Contribution to journalArticleScientificpeer-review


Linear interpolation has been adapted in many signal and image processing applications due to its simple implementa-tion and low computational cost. In standard linear interpolation the kernel is the second order B-spline 2βt. In this work we show that the interpolation error can be remarkably diminished by using the time-shifted B-spline 2βt-Δas an interpolation kernel. We verify by experimental tests that the optimal shift is 0.25Δ=. In VLSI and microprocessor circuits the shifted linear interpolation (SLI) algorithm can be effectively implemented by the z-transform filter. The interpolation error of the SLI filter is comparable to the more elaborate higher order cubic convolution interpolation.
Original languageEnglish
Pages (from-to)44- 49
JournalJournal of Signal and Information Processing
Issue number1
Publication statusPublished - 2010
MoE publication typeA1 Journal article-refereed


  • Linear Interpolation
  • Cubic Convolution
  • B-splines
  • VLSI


Dive into the research topics of 'Shifted linear interpolation filter'. Together they form a unique fingerprint.

Cite this