Image interpolation method based on structure tensor
基于结构张量的图像插值方法

An efficient method for image interpolation was presented, in which geometric features described by the local structure tensor were exploited to enhance the sharpness of edges without incurring any additional artifacts. Simulation results show that the proposed approach exhibited better performance than the standard linear interpolation, particularly in the edge regions. The implementation has low complexity and it is well suited for real-time applications. In addition, the relationship between the method and an interpolation scheme based on variational models presented in previous work was also discussed and further analysis shows that the latter is a special case of our algorithm.