publication . Article . 2011

Linear Methods for Image Interpolation

Pascal Getreuer;
Open Access
  • Published: 01 Sep 2011 Journal: Image Processing On Line, volume 1 (eissn: 2105-1232, Copyright policy)
  • Publisher: Image Processing On Line
Abstract
We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional separable interpolation. Source Code The source code (ANSI C), its documentation, and the online demo are accessible at the IPOL web page of this article 1 .
Subjects
ACM Computing Classification System: MathematicsofComputing_NUMERICALANALYSISComputingMethodologies_COMPUTERGRAPHICSComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
free text keywords: Electronic computers. Computer science, QA75.5-76.95, Spline interpolation, Interpolation, Linear interpolation, Stairstep interpolation, Nearest-neighbor interpolation, Discrete mathematics, Trilinear interpolation, Bicubic interpolation, Mathematics, Bilinear interpolation, Algorithm
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