An efficient edge preserving image interpolation algorithm

Quality degradation and computational complexity are the major challenges for image interpolation algorithms. Advanced interpolation techniques achieve to preserve fine image details but typically suffer from lower computational efficiency, while simpler interpolation techniques lead to lower quality images. In this paper, we propose an edge preserving technique based on inverse gradient weights as well as pixel locations for interpolation. Experimental results confirm that the proposed algorithm exhibits better image quality compared to conventional algorithms. At the same time, our approach is shown to be faster than several advanced edge preserving interpolation algorithms.