Filter Design for Adaptive Frequency-Domain Bayer Demosaicking

Author

Dubois, Eric

Author_Institution

Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada

fYear

2006

Firstpage

2705

Lastpage

2708

Abstract

This paper addresses filter design for the adaptive frequency-domain Bayer demosaicking algorithm. Both frequency-domain design and a least-squares design are considered. The effect of filter order on the reconstruction error is studied. A least-squares design method taking into account the characteristics of the adaptive frequency-domain algorithm is shown to lead to better demosaicking results than other published methods with lower complexity than the previous version of the adaptive frequency-domain algorithm.

Keywords

Bayes methods; adaptive filters; adaptive signal processing; frequency-domain analysis; image reconstruction; image segmentation; least squares approximations; Bayer demosaicking; adaptive frequency-domain algorithm; filter design; least-squares design; reconstruction error; Adaptive filters; Algorithm design and analysis; Demultiplexing; Frequency; Image reconstruction; Information filtering; Information filters; Sensor arrays; Signal processing algorithms; Testing; adaptive signal processing; color; demultiplexing; least squares methods; multidimensional filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2006 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1522-4880

Print_ISBN

1-4244-0480-0

Type

conf

DOI

10.1109/ICIP.2006.313073

Filename

4107127