Optimal prefiltering for improved image interpolation

Author

Price, Jeffery R. ; Hayes, Monson H., III

Author_Institution

Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

2

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

959

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.

Keywords

CCD image sensors; filtering theory; image processing; image reconstruction; interpolation; least mean squares methods; CCD sensor model; MMSE; cubic interpolation; directional interpolation; image interpolation; image quality improvement; linear interpolation; optimal prefiltering; quantitative results; subjective results; Charge coupled devices; Digital cameras; Filters; Image reconstruction; Image resolution; Image sensors; Interpolation; Iterative methods; Layout; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.751405

Filename

751405