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Efficient Zooming Algorithm for Color Filter Array Using Gradient Edge Detection Masks and Color Differences

In this paper, a new and efficient zooming algorithm for mosaic images, which are captured by a single chargecoupled device/complementary metal-oxide-semiconductor (CCD/CMOS) sensor with the Bayer color filter array (CFA), is presented. Based on the Sobeland interpolation-based masks, more accurate edge/gradient information can be extracted from the input mosaic image directly. Then, the extracted edge/gradient information and the color difference concept are utilized to obtain the high-quality zoomed image. Based on the twenty-four test mosaic images, our proposed zooming algorithm has more than 1.2 decibel (dB) image quality improvement when compared with two previous zooming algorithms proposed by Lukac et al.