Joint HDR and super-resolution imaging in motion blur

Images captured from consumer cameras are often prone to camera shake resulting in motion blur. Effect of motion blur is more common in high dynamic range imaging applications where multiple images are captured over a wide range of exposure settings. In this paper, we propose a unified approach to perform high dynamic range super-resolution (HDR-SR) imaging from a sequence of low dynamic range and low-resolution motion-blurred images. While existing works on HDR-SR assume the availability of blur-free input images, we propose an approach which is designed to handle blurring effects caused by the camera motion. Our approach attempts to harness the complementarity present in terms of the sensor exposure and blur to yield a high-quality image which has both higher spatial resolution as well as dynamic range. Experiments on synthetic and real examples demonstrate that the proposed method delivers state-of-the-art results.