Optimal prefiltering for improved image interpolation

Jeffery R. Price, Monson H. Hayes

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

In this paper we derive an optimal (MMSE) prefilter for image interpolation. This derivation is based upon a model of the sensor used to capture the image. To employ this model, we restate the interpolation problem in an intuitive, reconstruction-like fashion. Using a simple CCD sensor model, an example prefilter is derived. Simulations with this prefilter are performed using linear and cubic interpolation as well as an ad hoc, directional interpolation scheme. Quantitative and subjective results indicate that prefiltering generally improves the quality of the interpolated images.

Original languageEnglish
Pages (from-to)959-963
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 1 1998Nov 4 1998

Fingerprint

Dive into the research topics of 'Optimal prefiltering for improved image interpolation'. Together they form a unique fingerprint.

Cite this