Title :
LMMSE frequency merging for demosaicking
Author :
Tang, Weiran ; Au, Oscar C. ; Wen, Xing ; Yang, Yi ; Fang, Lu
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
fDate :
June 28 2009-July 3 2009
Abstract :
For raw images captured by most digital cameras, every pixel has only on color in R, G and B. Kinds demosaicking algorithms are proposed for interpolating the missing two colors. In this article, the relationships inter and intra color channels are analyzed, and basing on the features, we propose a method to divide raw images into sub images and merge them in frequency domain with linear combination. Optimal weights are calculated with estimation values and raw values based on minimum mean square error criteria. Experiments results with different estimations are presented and discussed.
Keywords :
cameras; frequency-domain analysis; image colour analysis; image resolution; image segmentation; least mean squares methods; LMMSE frequency merging; color interpolation; demosaicking algorithms; digital cameras; intercolor channels; intracolor channels; minimum mean square error criteria; pixel; Digital cameras; Filters; Frequency domain analysis; Image analysis; Image color analysis; Image edge detection; Interpolation; Mean square error methods; Merging; Pixel; Demosaicking; Frequency Merging; LMMSE;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202478