ABSTRACT
Image blur arises when a single object point spreads over several image pixels. This phenomenon is mainly caused by camera motion during exposure or a lens that is out-of-focus. The conventional approach to image deblurring is to construct an image degradation model and then solve the ill-posed inverse problem of this model. A new approach takes advantage of recent advances in image sensing technology which enable splitting or controlling the exposure time [1], [2], [3]. This approach exploits the mutually different pieces of information from multi-exposed images of the same scene to produce the deblurred image.
