High dynamic range motion image sequences reconstruction

In this paper, we proposed a fast and efficient high dynamic range reconstruction model based on brightness compensation and multi-source bidirectional similarity (MBDS). By introducing the exposure value detecting function, the dynamic image sequence with different exposure values is divided into the high-exposure images, the low-exposure images and the reasonable exposure images. Considering that the brightness dynamic range is an important factor which greatly influences the image visual effect and its rich information contents, we improve the image brightness by the brightness enhancement algorithm for the low-exposure images. By combining the exposure value detecting and the brightness enhancement, it could improve the time efficiency and the block matching accuracy for the high dynamic range reconstruction algorithm based on MBDS, and also the artifacts and shake phenomenon produced in the reconstruction process could be reduced. Experimental results demonstrate that the proposed model could achieve better exposure compensation, which obtains more reasonable image brightness and much richer image details information.