Single-frame image super-resolution through contourlet learning
EURASIP Journal on Applied Signal Processing
Limits of Learning-Based Superresolution Algorithms
International Journal of Computer Vision
A soft MAP framework for blind super-resolution image reconstruction
Image and Vision Computing
Augmented reality based on estimation of defocusing and motion blurring from captured images
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Joint Blind Super-Resolution and Shadow Removing
IEICE - Transactions on Information and Systems
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The super-resolution of a single image of unknown point-spread-function (PSF) is addressedby extending a learning framework using blind deconvolution with an uncertainty around the resulting PSF. Results indicate success in refining the estimate of the PSF as well as to restoring the image. A novel disparity measure is also proposed to quantify the results.