A real time global motion compensation for multi-exposure imaging algorithms

The paper presents a global motion compensation algorithm, designed to work in real time on low memory and low processing power hardware platforms, such as mobile phones. The algorithm is designed as one of the parts of a fully automated exposure fusion algorithm also intended for mobile platform. It implements translational shifts to one or both of the input images (the overexposed and the underexposed) in order to achieve their spatial alignment. Although the rotational and perspective movements are not included because of the high computational load for their estimation, the experimental results show that the implementation of this algorithm yields high visual quality to the fused results in most of the practical cases.