We present image processing algorithms for the generic temporal-integration video-enhancement approach based on the global segmentation representation of motion, and demonstrate their usefulness by experimental simulations. As a specific case, here we take up the interlaced-to-progressive scan conversion problem, form the interlaced-to-progressive transform along the line of the temporal integration, and then experimentally evaluate it. The experimental simulations demonstrate that the temporal-integration approach is very promising as a basic means of video enhancement.
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