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Super-Resolution from Noisy Data
Deconvolution stable signal recovery sparsity line spectra estimation basis mismatch superresolution factor
2015/6/17
This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the lowfreque...
Towards a Mathematical Theory of Super-Resolution
Diffraction limit deconvolution stable signal recovery sparsity sparse spike trains, `1 minimization dual certificates interpolation super-resolution semidefinite programming
2015/6/17
This paper develops a mathematical theory of super-resolution. Broadly speaking, superresolution is the problem of recovering the fine details of an object—the high end of its spectrum— from coarse sc...
Super-resolution via Transform-invariant Group-sparse Regularization
Super-resolution Transform-invariant Group-sparse
2015/6/17
We present a framework to super-resolve planar regions found in urban scenes and other man-made environments by taking into account their 3D geometry. Such regions have highly structured straight edge...
In single-molecule microscopy it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at frequencies capped by fc, which is just about the fre...
Robust Video Super-Resolution with Registration Efficiency Adaptation
Robust Video Super-Resolution Registration Efficiency Adaptation
2010/12/21
Super-Resolution (SR) is a technique to construct a high-resolution (HR) frame by fusing a group of low-resolution (LR)frames describing the same scene. The effectiveness of the conventional super-res...
Locality Preserving Constraints for Super Resolution with Neighbor Embedding
Locality Preserving Constraints Super Resolution Neighbor Embedding
2010/12/20
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the
high-resolution manifold s...
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently...