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A typical consumer digital camera uses a Color Filter Array (CFA) to sense only one color component per image pixel. The original three-color image is reconstructed by interpolating the missing color components. This interpolation process (known as demosaicing) corresponds to solving an under-determined system of linear equations. In this paper, we show that by replacing the traditional CFA with a...
The color filter array (CFA) is a cost-effective structure widely adopted in modern digital still cameras (DSC). Because some color information has been filtered out, interpolation process is required to retrieve the original image. In literature, bilinear interpolation is commonly used due to its simplicity. No cross-channel computations are necessary in bilinear interpolation. By taking into consideration...
Optical joint transform correlation (JTC) technique has been proposed to be an efficient pattern recognition system. Color pattern recognition techniques utilize color of the target objects as additional feature to the spatial characteristics. A new optical JTC technique is developed for color pattern recognition employing the same reference image but with four different amounts of phase shift. A...
Detection of demosaicing characteristics based on correlation at pixel level is useful for image forensic purposes. In this paper, we propose a new model to detect the demosaicing characteristics based on the second-order derivative correlation. Without the influences of the uneven DC components in the three color channels, the new model can estimate both intra-channel and cross-channel correlation...
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