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Improvement of Noise free Color Video Demosaicking Using Denoising and Iterative Enhanced Demosaicking Algorithm

Color demosaicking is critical to the image quality of digital still and video cameras that use a single-sensor array. Limited by the mosaic sampling pattern of the color filter array (CFA), color artifacts may occur in a demosaicked image in areas of high-frequency and/or sharp color transition structures. However, a color digital video camera captures a sequence of mosaic images and the temporal dimension of the color signals provides a rich source of information about the scene via camera and object motions. The quality of demosaicked images is degraded due to the sensor noise introduced during the image acquisition process. According to the proposed Demosaicking algorithm We first perform patch based denoising on the mosaic CFA video. For each CFA patch to be denoised, similar patches are selected within a local spatialtemporal neighborhood. The principal component analysis is performed on the selected patches to remove noise. we can extract edge information of each pixel in terms of the direction of variation and the gradient from the mosaic image directly and accurately, and the extracted more accurate edge information will be utilized to assist the design of our proposed new demosaicking algorithm.