1 |
Donoho D L, "De-noising by soft-thresholding," IEEE transactions on information theory, vol. 41, no. 3, pp. 613-627, May, 1995.
DOI
|
2 |
Dongming Li, Lijuan Zhang, Jinhua Yang and Wei Su, "Research on wavelet-based contourlet transform algorithm for adaptive optics image denoising," Optik-International Journal for Light and Electron Optics, vol. 127, no. 12, pp. 5029-5034, June, 2016.
DOI
|
3 |
Goodman J W, "Some fundamental properties of speckle," Journal of the optical society of America, vol. 66, no. 11, pp. 1145-1150, November, 1976.
DOI
|
4 |
Charles-Alban Deledalle, LoIc Denis and Florence Tupin, "Iterative weighted maximum likelihood denoising with probabilistic patch-based weights," IEEE Trans. Image Process., vol. 18, no. 12, pp. 2661-2672, December, 2009.
DOI
|
5 |
Sara Parrilli, Mariana Poderico, Cesario Vincenzo Angelino and Luisa Verdoliva, "A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 606-616, February, 2012.
DOI
|
6 |
Dong Mingkun, Jiang Aimin and Sun Juan, "Dictionary-learning-based image denoising method using information fusion of residuals," Microprocessors, vol. 2, no. 1, pp. 58-63, 2015.
|
7 |
Liu Shuaiqi, Hu Shaohai, and Xiao Yang, "Bayesian shearlet shrinkage for SAR image de-noising via sparse representation," Multidimensional Systems and Signal Processing, vol. 25, no. 4, pp. 683-701, October, 2014.
DOI
|
8 |
Hu Shaohai, Ma Xiaole, Liu Shuaiqi, and Yang Dongsheng, "SAR image de-noising based on non-local similar block matching in NSST domain," in Proc. of 2016 IEEE 13th International Conference on Signal Processing, pp.832-836, November 6-10, 2016.
|
9 |
Ling Shao, Ruomei Yan, Xuelong Li, and Yan Liu, "From heuristic optimization to dictionary learning: a review and comprehensive comparison of image denoising algorithms," IEEE Transactions on Cybernetics, vol. 44, no. 7, pp. 1001-1013, July, 2014.
DOI
|
10 |
Michal Aharon, Michael Elad and Alfred Bruckstein, "The K-SVD : an algorithm for designing of overcomplete dictionaries for sparse representation," IEEE Transactions on Signal Processing, vol. 54, no. 11, pp. 4311-4322, November, 2006.
DOI
|
11 |
Shi Guangming, Liu Danhua, Gao Dahua and et.al., "Advances in Theory and Application of Compressed Sensing," Acta Electronica Sinica, vol. 37, no. 5, pp. 1070-1081, May, 2009.
DOI
|
12 |
Bhabesh Deka and Prabin Kumar Bora, "Removal of correlated speckle noise using sparse and overcomplete representations," Biomedical Signal Processing and Control, vol. 8, no. 6, pp. 520-533, November, 2013.
DOI
|
13 |
Chenglong Wang, Guanghui Zhao, Guangming Shi and Huan Li, "SAR image despeckling based on the nonlocally centralized sparse representation model," in Proc. of 2014 IEEE International Conference on Computer and Information Technology, pp. 143-147, September 11-13, 2014.
|
14 |
Xiao Quan, Ding Xinghao, Wang Shoujue and et.al., "Image denoising based on adaptive over-complete sparse representation," Chinese Journal of Scientific Instrument, vol. 30, no. 9, pp. 1886-1890, September, 2009.
DOI
|
15 |
Michael Elad and Michal Aharon, "Image denoising via sparse and redundant representation over learned dictionaries," IEEE Transactions on Signal Processing, vol. 15, no. 12, pp. 3736-3745, December, 2006.
|
16 |
A. Buades, B. Coll and J.M. Morel, "A review of image denoising algorithms, with a new one," Multiscale Model. Simul., vol. 4, no. 2, pp. 490-530, 2005.
DOI
|
17 |
Hu Shaohai, Yang Dongsheng, Liu Shuaiqi, and Xiaole Ma, "Block-matching based mutimodal medical image fusion via PCNN with SML," in Proc. of 2016 IEEE 13th International Conference on Signal Processing, pp. 13-18, November 6-10, 2016.
|
18 |
Kanghui Guo and Demetrio Labate, "Optimally sparse multidimensional representation using Shearlets," SIAM Journal on Mathematical Analysis, vol. 39, no. 1, pp. 298-318, 2007.
DOI
|