Reducing blurring-effect in high resolution mosaic generation

Abstract

The mosaic generation methods benefit from global motion estimation (GME) methods, which yield almost accurate estimation of motion parameters. However, the generated mosaics are usually more blurred than the original frames due to the image warping stage and errors in motion estimation. The transformed coordinates resulting from GME are generally real numbers whereas images are sampled into integer values. Although GME methods generate proper motion parameters, a slight error in motion estimation may propagate to subsequent mosaic generation steps. We propose a method to generate clearer mosaics from video. The temporal integration of images is performed using the histemporal filter based on the histogram of values within an interval. The initial frame in the video sequence is registered at a higher resolution to generate a high resolution mosaic. Instead of warping of each frame, the frames are warped into the mosaic at intervals. This reduces the blurring in the mosaic.