SAR image filtering via learned dictionaries and sparse representations

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue 1, 2008, Pages

  Foucher, Samuel ^a  

^a Cent de Recherche Informatique de Montreal   (Canada)

Author keywords

K SVD; SAR; Speckle filtering

Indexed keywords

ADDITIVE GAUSSIAN NOISE; ALTERNATIVE APPROACH; CONTOURLETS; CURVELETS; GEOMETRIC SPACE; IMAGE CONTENT; IMAGE PATCHES; IMAGE REPRESENTATIONS; K-SVD; LEARNING PROCESS; MULTISCALE; NEW APPROACHES; NOISE LEVELS; NOISY IMAGE; ORTHOGONAL MATCHING PURSUIT; REDUNDANT REPRESENTATION; RIDGELETS; SAR; SAR IMAGES; SPARSE REPRESENTATION; SPECKLE FILTERING; SPECKLE NOISE REDUCTION;

ATOMS; EDUCATION; REMOTE SENSING; SPECKLE; SYNTHETIC APERTURES;

SINGULAR VALUE DECOMPOSITION;

EID: 67649760648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4778835     Document Type: Conference Paper

References (11)

1. F. Argenti and L. Alparone, "Speckle Removal from SAR Images in the Undecimated Wavelet Domain", IEEE Trans. on Geosci. and Remote Sens., vol. 40, no. 11, pp. 2363 -2212, Nov. 2002.
2. S. Foucher, G. B. Bénié, and J.-M. Boucher, Multiscale MAP Filtering of SAR images, IEEE Trans. on Image Proc., vol. 10, no. 1, pp. 49 -6, Jan. 2001.
3. S. Foucher, G. Farage, and G. B. Bénié, "SAR Image Filtering Based on the Stationary Contourlet Transform", IGARSS, Denver, pp. 4021-4024 Jul. 2006.
4. B.B. Saevarrson, J.R. Sveinsson, and J.A. Benediktsson, "Combined Wavelet and Curvelet Denoising of SAR Images", IGARSS, pp. 4235-4238, 2004.
5. H. Xie, L.E. Pierce and F.T. Ulaby, "Statistical Properties of Logarthmically Transformed Speckle", IEEE Trans. Geo. and Remote Sensing, vol.40, no. 3, pp. 721-726.
6. J. Mairal, M. Elad and G. Sapiro. Sparse representation for color image restoration. IEEE Transactions on Image Processing. volume 17, issue 1, January 2008, pages 53-69.
7. M. Aharon, M. Elad, and A.M. Bruckstein, "K-SVD: An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation", IEEE Trans. On Signal Processing, vol. 54, no. 11, 2006.
8. M. Elad and M. Aharon, "Image Denoising Via Sparse and Redundant representations over Learned Dictionaries", the IEEE Trans. on Image Processing, Vol. 15, no. 12, pp. 3736-3745, December 2006.
9. M. Elad and M. Aharon, "Image denoising via learned dictionaries and sparse representation", CVPR, NY, June 17-22, 200.
10. J. S. Lee. Digital image enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2:165-168, 1980.
11. J. Mairal, G. Sapiro and M. Elad. Learning multiscale sparse representations for image and video restoration. SIAM Multiscale Modeling and Simulation. Vol 7. No 1. April 2008. pages 214-241.