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Single-chip digital cameras use color filter arrays (CFA) to sample different color component. So demosaicking algorithms to complete RGB values is necessary. In this paper, we introduce the data adaptive filtering concept, exploit it for demosaicking, and finally propose a novel demosaicking algorithm for Bayer color filter array. Using a different function mapping, we adopt the color difference model, predict the color difference value at the R/B location and then update it. Through the refined color difference value, we first interpolate the full G channel, and then recover R and B channels. The efficiency of the proposed approach is demonstrated by experimental results with simulated and real data. It not only performs the high quality of our approach visually but also has a notably lower computational cost. |
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Keywords:CFA;interpolation;adaptive;demosaicking camera |
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