Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
EURASIP Journal on Advances in Signal Processing
Bayesian Methods for Image Super-Resolution
The Computer Journal
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Image enhancement methods can be divided in two groups: the ones that use only one single image and the ones that rely on specific training set or use multiple images. In this paper it is introduced an iterative algorithm based on the quasi-Newton methods, with the objective to enhance resolution only by one single image. In the paper there will be compared results gained depending on the objective histogram: spline histogram and one augmented with Empirical Mode Decomposition.