ECCV 1996: Computer Vision — ECCV '96 pp 571-582 | Cite as
Motion deblurring and super-resolution from an image sequence
Abstract
In many applications, like surveillance, image sequences are of poor quality. Motion blur in particular introduces significant image degradation. An interesting challenge is to merge these many images into one high-quality, estimated still. We propose a method to achieve this. Firstly, an object of interest is tracked through the sequence using region based matching. Secondly, degradation of images is modelled in terms of pixel sampling, defocus blur and motion blur. Motion blur direction and magnitude are estimated from tracked displacements. Finally, a high-resolution deblurred image is reconstructed. The approach is illustrated with video sequences of moving people and blurred script.
Keywords
Real Image Ideal Image Motion Blur Inverse Filter Deblurred ImagePreview
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