DocumentCode :
2733010
Title :
A hybrid demosaicking algorithm using frequency domain and wavelet methods
Author :
Kolta, Rana Wasfi B ; Aly, Hussein A. ; Fakhr, Waleed
Author_Institution :
Comput. Sci. Dept., Arab Acad. for Sci. & Technol. & Maritime, Cairo, Egypt
fYear :
2011
fDate :
3-5 Nov. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Demosaicking is the process of reconstructing a full color image from the incomplete color samples output of an image sensor overlaid with a color filter array. Most demosaicking algorithms usually suffer from visible color artifacts such as false colors. In this paper the hybrid use of frequency domain demosaicking with wavelet decomposition postprocessing is employed to reduce color artifacts usually found around edges. The algorithm is iterative and an adaptive stopping criterion is suggested. Results show an improvement in terms of visual and numerical comparisons using peak signal-to-noise ratio (PSNR) between the demosaicked image before and after postprocessing.
Keywords :
frequency-domain analysis; image colour analysis; image reconstruction; iterative methods; optical filters; wavelet transforms; adaptive stopping criterion; color artifact reduction; color filter array; color image reconstruction; frequency domain demosaicking method; hybrid demosaicking algorithm; image sensor; iterative algorithm; peak signal-to-noise ratio; visible color artifact; wavelet decomposition postprocessing; wavelet method; Filter banks; Filtering algorithms; Frequency domain analysis; Image color analysis; Image edge detection; Image reconstruction; Information processing; Bayer pattern; Demosaicking; color filter array (CFA); false colors; iterative postprocessing; wavelet decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location :
Himachal Pradesh
Print_ISBN :
978-1-61284-859-4
Type :
conf
DOI :
10.1109/ICIIP.2011.6108855
Filename :
6108855
Link To Document :
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