Advances and challenges in super‐resolution

@article{Farsiu2004AdvancesAC,
  title={Advances and challenges in super‐resolution},
  author={Sina Farsiu and M. Dirk Robinson and Michael Elad and Peyman Milanfar},
  journal={International Journal of Imaging Systems and Technology},
  year={2004},
  volume={14}
}
Super‐Resolution reconstruction produces one or a set of high‐resolution images from a sequence of low‐resolution frames. This article reviews a variety of Super‐Resolution methods proposed in the last 20 years, and provides some insight into, and a summary of, our recent contributions to the general Super‐Resolution problem. In the process, a detailed study of several very important aspects of Super‐Resolution, often ignored in the literature, is presented. Specifically, we discuss robustness… 
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References

SHOWING 1-10 OF 85 REFERENCES
Super-resolution image reconstruction: a technical overview
TLDR
The goal of this article is to introduce the concept of SR algorithms to readers who are unfamiliar with this area and to provide a review for experts to present the technical review of various existing SR methodologies which are often employed.
Fundamental limits of reconstruction-based superresolution algorithms under local translation
  • Zhouchen Lin, H. Shum
  • Mathematics
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2004
TLDR
This paper is the first attempt to determine the explicit limits of reconstruction-based algorithms, under both real and synthetic conditions, based on the perturbation theory of linear systems.
Super-resolution image reconstruction
TLDR
The SR image reconstruction method estimates an HR image with finer spectral details from multiple LR observations degraded by blur, noise, and aliasing, and the major advantage of this approach is that it may cost less and the existing LR imaging systems can still be utilized.
Fast and robust super-resolution
TLDR
A different implementation using L/sub 1/ norm minimization and robust regularization to deal with different data and noise models is proposed, which is robust to errors in motion and blur estimation, and results in sharp edges.
Fast and Robust Multi-Frame Super-Resolution
TLDR
An alternate approach using L1 norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models is proposed, which is robust to errors in motion and blur estimation, and results in images with sharp edges.
Robust shift and add approach to superresolution
TLDR
It is proved that additive Gaussian distribution is not a proper model for super-resolution noise and it is shown that Lp norm minimization results in a pixelwise weighted mean algorithm which requires the least possible amount of computation time and memory and produces a maximum likelihood solution.
Super-Resolution Reconstruction of Image Sequences
TLDR
This paper rederive these algorithms as approximations of the Kalman filter and then carry out a thorough analysis of their performance, which shows the computational feasibility of these algorithms.
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
TLDR
Experimental results with real video demonstrate that a significant increase in the image resolution can be achieved by taking the motion blurring into account especially when there exists large interframe motion.
Efficient super-resolution and applications to mosaics
  • A. Zomet, Shmuel Peleg
  • Mathematics
    Proceedings 15th International Conference on Pattern Recognition. ICPR-2000
  • 2000
TLDR
A framework for super resolution algorithms is presented, which enables the development of very efficient algorithms and a method for applying super resolution to panoramic mosaics is presented that preserves the geometry of the original mosaic image, while improving its resolution.
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
TLDR
A maximum a posteriori (MAP) framework for jointly estimating image registration parameters and the high-resolution image is presented and experimental results are provided to illustrate the performance of the proposed MAP algorithm using both visible and infrared images.
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