Fast and robust super-resolution
Publication
, Journal Article
Farsiu, S; Robinson, D; Elad, M; Milanfar, P
Published in: IEEE International Conference on Image Processing
December 17, 2003
In the last two decades, many papers have been published, proposing a variety methods of multi-frame resolution enhancement. These methods are usually very sensitive to their assumed model of data and noise, which limits their utility. This paper reviews some of these methods and addresses their shortcomings. We propose a different implementation using L 1 norm minimization and robust regularization to deal with different data and noise models. This computationally inexpensive method is robust to errors in motion and blur estimation, and results in sharp edges. Simulation results confirm the effectiveness of our method and demonstrate its superiority to other robust super-resolution methods.
Duke Scholars
Published In
IEEE International Conference on Image Processing
Publication Date
December 17, 2003
Volume
2
Start / End Page
291 / 294
Citation
APA
Chicago
ICMJE
MLA
NLM
Farsiu, S., Robinson, D., Elad, M., & Milanfar, P. (2003). Fast and robust super-resolution. IEEE International Conference on Image Processing, 2, 291–294.
Farsiu, S., D. Robinson, M. Elad, and P. Milanfar. “Fast and robust super-resolution.” IEEE International Conference on Image Processing 2 (December 17, 2003): 291–94.
Farsiu S, Robinson D, Elad M, Milanfar P. Fast and robust super-resolution. IEEE International Conference on Image Processing. 2003 Dec 17;2:291–4.
Farsiu, S., et al. “Fast and robust super-resolution.” IEEE International Conference on Image Processing, vol. 2, Dec. 2003, pp. 291–94.
Farsiu S, Robinson D, Elad M, Milanfar P. Fast and robust super-resolution. IEEE International Conference on Image Processing. 2003 Dec 17;2:291–294.
Published In
IEEE International Conference on Image Processing
Publication Date
December 17, 2003
Volume
2
Start / End Page
291 / 294