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Articles

Multispectral super-resolution of tropical cyclone imagery using sparsity-based approaches

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Pages 2494-2509 | Received 08 Oct 2015, Accepted 05 Apr 2016, Published online: 09 May 2016

References

  • Buades, A., B. Coll, and J. M. Morel. 2005. “A Review of Image Denoising Algorithms, with a New One.” SIAM Journal Multiscale Modeling & Simulation 4 (2): 490–530. doi:10.1137/040616024.
  • Donoho, D. L., and I. M. Johnstone. 1995. “Adapting to Unknown Smoothness via Wavelet Shrinkage.” Journal of The American Statistical Association 90 (432): 1200–1224. doi:10.1080/01621459.1995.10476626.
  • Gabay, D., and B. Mercier. 1976. “A Dual Algorithm for the Solution of Nonlinear Variational Problems via Finite Element Approximations.” Computers and Mathematics with Applications 2: 17–40. doi:10.1016/0898-1221(76)90003-1.
  • Gilboa, G., and S. Osher. 2007. “Nonlocal Linear Image Regularization and Supervised Segmentation.” SIAM Journal Multiscale Modeling & Simulation 6 (2): 595–630. doi:10.1137/060669358.
  • Gilboa, G., and S. Osher. 2008. “Nonlocal Operators with Applications to Image Processing.” SIAM Journal Multiscale Modeling & Simulation 7 (3): 1005–1028. doi:10.1137/070698592.
  • Glowinski, R., J. L. Lions, and R. Tremolieres. 1981. Numerical Analysis of Variational Inequalities. Amsterdam: North-Holland.
  • Glowinski, R., and A. Marrocco. 1975. “Sur l’approximation, par elements finis d’ordre un, et la resolution, par, penalisation-dualit´e, d’une classe de problems de Dirichlet non lineares.” Revue Fran¸caise d’Automatique, Informatique, et Recherche Op´erationelle 9: 41–76.
  • Goldstein, T., and S. Osher. 2009. “The Split Bregman Method for L1-Regularized Problems.” SIAM Journal on Imaging Sciences 2 (2): 323–343. doi:10.1137/080725891.
  • Guo, W., and W. Yin. 2012. “Edge Guided Reconstruction for Compressive Imaging.” SIAM Journal on Imaging Sciences 5 (3): 809–834. doi:10.1137/110837309.
  • Jung, M., A. Marquina, and L. Vese. 2009. “Multiframe Image Restoration in the Presence of Noisy Blur Kernel.” In IEEE International Conference on Image Processing, 1529–1532.
  • Jung, M., X. Bresson, T. F. Chan, and L. A. Vese. 2009. “Color Image Restoration Using Nonlocal Mumford-Shah Regularizers.” Lecture Notes in Computer Science 5681: 373–387.
  • Jung, M., X. Bresson, T. F. Chan, and L. A. Vese. 2011. “Nonlocal Mumford-Shah Regularizers for Color Image Restoration.” IEEE Transactions on Image Processing 20 (6): 1583–1598. doi:10.1109/TIP.2010.2092433.
  • Jung, M., A. Marquina, and L. A. Vese. 2013. “Variational Multiframe Restoration of Images Degraded by Noisy (Stochastic) Blur Kernels.” Journal of Computational and Applied Mathematics 240: 123–134. doi:10.1016/j.cam.2012.07.009.
  • Kindermann, S., S. Osher, and P. Jones. 2005. “Deblurring and Denoising of Images by Nonlocal Functionals.” SIAM Journal Multiscale Modeling & Simulation 4 (4): 1091–1115. doi:10.1137/050622249.
  • Lou, Y., X. Zhang, S. Osher, and A. L. Bertozzi. 2010. “Image Recovery via Nonlocal Operators.” Journal Sciences Computation 42 (2): 185–197. doi:10.1007/s10915-009-9320-2.
  • Marquina, A., and S. Osher. 2008. “Image Super-Resolution by TV-Regularization and Bregman Iteration.” Journal Sciences Computation 37: 367–382. doi:10.1007/s10915-008-9214-8.
  • Michalakes, J., J. Dudhia, D. Gill, J. Klemp, and W. Skamarock. 1998. Design of a Next-Generation Regional Weather Research and Forecast Model: Towards Teracomputing. River Edge, NJ: World Scientific.
  • Mumford, D., and J. Shah. 1989. “Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems.” Communications on Pure and Applied Mathematics 42: 577–685. doi:10.1002/(ISSN)1097-0312.
  • Osher, S., M. Burger, D. Goldfarb, J. Xu, and W. Yin. 2005. “An Iterative Regularization Method for Total Variation-Based Image Restoration.” Multiscale Modeling & Simulation 4 (2): 460–489. doi:10.1137/040605412.
  • Peyré, G. 2008. “Image Processing with Nonlocal Spectral Bases.” Multiscale Modeling & Simulation 7 (2): 703–730. doi:10.1137/07068881X.
  • Rudin, L., S. Osher, and E. Fatemi. 1992. “Nonlinear Total Variation Based Noise Removal Algorithms.” Physica D. Nonlinear Phenomena 60: 259–268. doi:10.1016/0167-2789(92)90242-F.
  • Szlam, A. D., M. Maggioni, and R. R. Coifman. 2008. “Regularization on Graphs with Function-adapted Diffusion Processes.” Journal of Machine Learning Research 9: 1711–1739.
  • Tanner, A. B., and C. T. Swift. 1993. “Calibration of a Synthetic Aperture Radiometer.” IEEE Transactions on Geoscience and Remote Sensing 31 (1): 257–267. doi:10.1109/36.210465.
  • Tanner, A. B., W. J. Wilson, B. H. Lambrigsten, S. J. Dinardo, S. T. Brown, P. P. Kangaslahti, T. C. Gaier et al. 2007. “Initial Results of the Geostationary Synthetic Thinned Array Radiometer (GeoSTAR) Demonstrator Instrument.” IEEE Transactions on Geoscience and Remote Sensing 45 (7): 1947–1957. doi:10.1109/TGRS.2007.894060.
  • Wang, Y., J. Yang, W. Yin, and Y. Zhang. 2008. “A New Alternating Minimization Algorithm for Total Variation Image Reconstruction.” SIAM Journal on Imaging Sciences 1 (3): 248–272. doi:10.1137/080724265.
  • Wang, Y., W. Yin, and Y. Zhang. 2007. A Fast Algorithm for Image Deblurring with Total Variation Regularization. CAAM Technical Report TR07-10. Houston, TX: Rice University.
  • Yang, J., W. Yin, Y. Zhang, and Y. Wang. 2009. “A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration.” SIAM Journal on Imaging Sciences 2 (2): 569–592. doi:10.1137/080730421.
  • Yang, J., Y. Zhang, and W. Yin. 2009. “An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise.” SIAM Journal Sciences Computation 31 (4): 2842–2865. doi:10.1137/080732894.
  • Yang, J., Y. Zhang, and W. Yin. 2010. “A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data.” IEEE Journal of Selected Topics in Signal Processing 4 (2): 288–297. doi:10.1109/JSTSP.2010.2042333.
  • Yanovsky, I., B. Lambrigtsen, A. Tanner, and L. Vese. 2015. “Efficient Deconvolution and Super-Resolution Methods in Microwave Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (9): 4273–4283. doi:10.1109/JSTARS.2015.2424451.
  • Yin, W., S. Osher, D. Goldfarb, and J. Darbon. 2008. “Bregman Iterative Algorithms for L1-Minimization with Applications to Compressed Sensing.” SIAM Journal on Imaging Sciences 1 (1): 143–168. doi:10.1137/070703983.

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