Multi-Frame Super-Resolution Combining Demons Registration and Bayesian Regularized Reconstruction

This letter proposes a multi-frame super-resolution framework by combining Demons registration with Bayesian-based regularized reconstruction. For both of our proposals, D-BTVIR and D-IRWIR, the visual analysis shows improvements in regions where the compared methods produced results with either motion-artifacts or over-smoothed aspect due to misregistration. Quantitative results on simulated deformations show an improvement of 3.5%, on average, in PSNR and 8.0%, in SSIM. Finally, results from the Nemenyi test show that D-IRWIR is statistically superior to the other methods we tested, both considering SSIM and PSNR, and D-BTVIR is statistically equivalent while being 7 times faster than the state-of-the-art Bayesian method.