Title :
Filter Design for Adaptive Frequency-Domain Bayer Demosaicking
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
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;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.313073
