Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Super-Resolution From Unregistered and Totally Aliased Signals Using Subspace Methods
IEEE Transactions on Signal Processing - Part II
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
Bayesian resolution enhancement of compressed video
IEEE Transactions on Image Processing
Statistical performance analysis of super-resolution
IEEE Transactions on Image Processing
A Nonlinear Least Square Technique for Simultaneous Image Registration and Super-Resolution
IEEE Transactions on Image Processing
Noniterative Interpolation-Based Super-Resolution Minimizing Aliasing in the Reconstructed Image
IEEE Transactions on Image Processing
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We present a method for simultaneously obtaining registration and super-resolution from a sequence of low resolution images, based on a coordinate-descent approach. The novelty of the algorithm resides on the registration step, which can be applied easily to any parametric global motion model. We prove the validity of the model with synthetic and real data experiments, being of special interest the good performance achieved in the difficult case of images registered under a projective transformation.