Improved cubic convolution for two dimensional image reconstruction

Stephen E. Reichenbach, Frank Geng

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations


This paper describes improved piecewise cubic convolution for two-dimensional image reconstruction. Piecewise cubic convolution is one of the most popular methods for image reconstruction, but the traditional approach uses a separable two-dimensional convolution kernel that is based on a one-dimensional derivation. The traditional approach is sub-optimal for the usual case of non-separable scenes and systems. The improved approach implements the most general two-dimensional, non-separable, piecewise cubic interpolator with constraints for symmetry, continuity, and smoothness.

Original languageEnglish (US)
Number of pages4
StatePublished - 2001
Event2001 IEEE Nuclear Science Symposium Conference Record - San Diego, CA, United States
Duration: Nov 4 2001Nov 10 2001


Conference2001 IEEE Nuclear Science Symposium Conference Record
Country/TerritoryUnited States
CitySan Diego, CA

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging


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