Sensor optimal image interpolation

Author

Price, Jeffery R. ; Hayes, M.H.

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1262

Abstract

Previously, we derived sensor optimal prefilters for image interpolation. The prefilters were applied prior to integer interpolation with a standard (e.g., linear or cubic) kernel. Here we expand upon that notion and construct complete, sensor optimal interpolation kernels for rational interpolation factors. After restating the interpolation problem in a reconstruction-like fashion, we employ a simple model of the image capture system to derive the MMSE interpolator. Results indicate significant subjective improvements over cubic interpolation, for little extra computation.

Keywords

filtering theory; image reconstruction; interpolation; least mean squares methods; optimisation; MMSE interpolator; cubic interpolation; cubic kernel; image capture system; image reconstruction; integer interpolation; linear kernel; rational interpolation factors; sensor optimal image interpolation; sensor optimal prefilters; standard kernel; Application software; Finite impulse response filter; Image reconstruction; Image resolution; Image sensors; Interpolation; Iris; Kernel; Layout; Nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831909

Filename

831909