[1]
|
Elad M, Figueiredo M A T, Ma Y. On the role of sparse and redundant representations in image processing[J]. Proceedings of the IEEE, 2010, 98(6):972-982. |
[2]
|
Michal Aharon, Michael Elad, Alfred Bruckstein. K-SVD:An algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 2006, 54(11):4311-4322. |
[3]
|
Beckouche J, Starck J L, Fadili J. Astronomical image denoising using dictionary learning[J]. Astronomy Astrophysics, 2013, 556(7):132. |
[4]
|
Hu Gaolong, Xiong Ling. Criminisi-based sparse representation for image inpainting[C]//2017 IEEE Third International Conference on Multimedia Big Data, 2017:389-393. |
[5]
|
Huang Linjiang, Liu Hong, Tao Shaojie. An improved inpainting algorithm based on K-SVD dictionary[J]. Journal of Anhui University(Natural Science Edition), 2013, 37(3):69-74. (in Chinese) |
[6]
|
Han Yulan, Zhao Yongping, Wang Qisong, et al. Reconstruction of super resolution for noise image under the sparse representation[J]. Optics and Precision Engineering, 2017, 25(6):1619-1626. (in Chinese) |
[7]
|
Xu Kai, Wang Nannan, Gao Xinbo. Image inpainting based on sparse representation with dictionary pre-clustering[C]//7th Chinese Conference on Pattern Recognition, 2016:245-258. |
[8]
|
Mairal Julien, Bach Francis, Ponce Jean, et al. Online dictionary learning for sparse coding[C]//26th Annual International Conference on Machine Learning, 2009:689-696. |
[9]
|
Naderahmadian Yashar, Beheshti Soosan, Tinati Mohammad Ali. Correlation based online dictionary learning algorithm[J]. IEEE Transactions on Signal Processing, 2015, 64(3):592-602. |
[10]
|
Marquez M A, Mojica E, Arguello H. Data sinogram sparse reconstruction based on steering kernel regression and filtering strategies[C]//SPIE, 2016, 9847:98470Z. |
[11]
|
Sahoo S K, Makur A. Replacing K-SVD with SGK:Dictionary training for sparse representation of images[C]//2015 IEEE International Conference on Digital Signal Processing, 2015(2):614-617. |
[12]
|
Verhack R, Sikora T, Lange, L, et al. A universal image coding approach using sparse steered Mixture-of-Experts regression[C]//2016 IEEE International Conference on Image Processing, 2016:2142-2146. |
[13]
|
Marquez M A, Mojica E, Arguello H. Data sinogram sparse reconstruction based on steering kernel regression and filtering strategies[C]//SPIE, 2016, 9847:98470Z. |
[14]
|
Zhang Kaibing, Gao Xinbo. Single image super-resolution with non-local means and steering Kernel regression[J]. IEEE Transactions on Image Processing, 2012, 21(11):4544-4556. |
[15]
|
Wei Chiapo, Chao Yuwei, Yeh Yiren, et al. Locality-sensitive dictionary learning for sparse representation based classification[J]. Pattern, 2013, 46(5):1277-1287. |
[16]
|
Guo Jun, Guo Yangqing, Li Yi, et al. Locality sensitive discriminative dictionary learning[C]//IEEE International Conference on Image Processing, 2015:1558-1562. |
[17]
|
Rao T J V S, Rao M V G, Aswini T V N L. Image inpainting with group based sparse representation using self adaptive dictionary learning[C]//International Conference on Signal Processing Communication Engineering Systems, 2015:301-305. |
[18]
|
Zhang Lin, Zhang Lei, Mou Xuanqin, et al. FSIM:a feature similarity index for image qualtiy assessment[J]. IEEE Transactions on Image Processing, 2011, 20(8):2378-2386. |