Color Filter Array Demosaicking by Using Subband Synthesis Scheme

Digital still cameras use image sensors to capture images. To reduce the size of digital still cameras, a single image sensor instead of three image sensors should be used. A single image sensor overlaid with a color filter array (CFA) that filters color channels only captures one color channel at e...

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Bibliographic Details
Published in:IEEE sensors journal 2015-11, Vol.15 (11), p.6164-6172
Main Authors: Sung, Da-Cheng, Tsao, Hen-Wai
Format: Article
Language:English
Subjects:
Bayer pattern
Channel estimation
Classification algorithms
Color
color filter array (CFA)
color interpolation
Correlation
Image color analysis
Image edge detection
image sensor
Interpolation
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Summary:Digital still cameras use image sensors to capture images. To reduce the size of digital still cameras, a single image sensor instead of three image sensors should be used. A single image sensor overlaid with a color filter array (CFA) that filters color channels only captures one color channel at each pixel; thus, the other missing color channels at each pixel must be reproduced from neighboring pixels. This procedure is known as CFA interpolation or demosaicking. In this paper, a novel CFA interpolation method is proposed to reduce false color artifacts and improve the quality of restored images. First, an edge detection method is used to interpolate the initial missing color channels. Second, the high correlations between wavelet subbands of the different color channels are explored to obtain accurate color values of the estimated green channel. Finally, the high-frequency subbands of red and blue channels are iteratively updated to reduce false color artifacts. Experimental results show that our proposed method preserves edges and restores images with high quality.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2015.2449902