Video enhancement based on global segmentation representation of image motion

We present image processing algorithms for the generic temporal integration video enhancement approach based on the global segmentation representation of the motion, and demonstrate their usefulness by experimental simulations. As a specific case, here we take up the interlace-to progressive scan conversion problem, from 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