Special Section on Digital Photography

Low-complexity color demosaicing algorithm based on integrated gradients

[+] Author Affiliations
King-Hong Chung

The Hong Kong Polytechnic University, Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong

Yuk-Hee Chan

The Hong Kong Polytechnic University, Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong

J. Electron. Imaging. 19(2), 021104 (June 01, 2010). doi:10.1117/1.3432484
History: Received June 11, 2009; Revised March 19, 2010; Accepted April 12, 2010; Published June 01, 2010; Online June 01, 2010
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Color demosaicing is critical for digital cameras, because it converts a Bayer sensor mosaic output to a full color image, which determines the output image quality of the camera. In this work, an efficient decision-based demosaicing method is presented. This method exploits a new edge-sensing measure called integrated gradient (IG) to effectively extract gradient information in both color intensity and color difference domains simultaneously. This measure is reliable and supports full resolution, which allows one to interpolate the missing samples along an appropriate direction and hence directly improves the demosaicing performance. By sharing it in different demosaicing stages to guide the interpolation of various color planes, it guarantees the consistency of the interpolation direction in different color channels and saves the effort required to repeatedly extract gradient information from intermediate interpolation results at different stages. An IG-based green plane enhancement is also proposed to further improve the method’s efficiency. Simulation results confirm that the proposed demosaicing method outperforms up-to-date demosaicing methods in terms of output quality at a complexity of around 80 arithmetic operations per pixel.

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Citation

King-Hong Chung and Yuk-Hee Chan
"Low-complexity color demosaicing algorithm based on integrated gradients", J. Electron. Imaging. 19(2), 021104 (June 01, 2010). ; http://dx.doi.org/10.1117/1.3432484


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