155 related articles for article (PubMed ID: 30130189)
1. VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising.
Wen B; Ravishankar S; Bresler Y
IEEE Trans Image Process; 2019 Apr; 28(4):1691-1704. PubMed ID: 30130189
[TBL] [Abstract][Full Text] [Related]
2. Learning doubly sparse transforms for images.
Ravishankar S; Bresler Y
IEEE Trans Image Process; 2013 Dec; 22(12):4598-612. PubMed ID: 23893720
[TBL] [Abstract][Full Text] [Related]
3. Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models.
Moore BE; Ravishankar S; Nadakuditi RR; Fessler JA
IEEE Trans Comput Imaging; 2020; 6():153-166. PubMed ID: 32095490
[TBL] [Abstract][Full Text] [Related]
4. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization.
Zhao Y; Yang P; Guan Q; Zheng J; Wang W
Comput Intell Neurosci; 2020; 2020():8392032. PubMed ID: 32849865
[TBL] [Abstract][Full Text] [Related]
5. Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers.
Wen B; Li Y; Bresler Y
IEEE Trans Image Process; 2020 Mar; ():. PubMed ID: 32203020
[TBL] [Abstract][Full Text] [Related]
6. Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems.
Ravishankar S; Nadakuditi RR; Fessler JA
IEEE Trans Comput Imaging; 2017 Dec; 3(4):694-709. PubMed ID: 29376111
[TBL] [Abstract][Full Text] [Related]
7. Analysis of fast structured dictionary learning.
Ravishankar S; Ma A; Needell D
Inf inference; 2020 Dec; 9(4):785-811. PubMed ID: 33343894
[TBL] [Abstract][Full Text] [Related]
8. MR image reconstruction from highly undersampled k-space data by dictionary learning.
Ravishankar S; Bresler Y
IEEE Trans Med Imaging; 2011 May; 30(5):1028-41. PubMed ID: 21047708
[TBL] [Abstract][Full Text] [Related]
9. Sinogram denoising via simultaneous sparse representation in learned dictionaries.
Karimi D; Ward RK
Phys Med Biol; 2016 May; 61(9):3536-53. PubMed ID: 27055224
[TBL] [Abstract][Full Text] [Related]
10. Dictionary Pair Learning on Grassmann Manifolds for Image Denoising.
Zeng X; Bian W; Liu W; Shen J; Tao D
IEEE Trans Image Process; 2015 Nov; 24(11):4556-69. PubMed ID: 26285148
[TBL] [Abstract][Full Text] [Related]
11. Image denoising via overlapping group sparsity using orthogonal moments as similarity measure.
Kumar A; Ahmad MO; Swamy MNS
ISA Trans; 2019 Feb; 85():293-304. PubMed ID: 30392726
[TBL] [Abstract][Full Text] [Related]
12. Sparse Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding.
Wenrui Dai ; Yangmei Shen ; Xin Tang ; Junni Zou ; Hongkai Xiong ; Chang Wen Chen
IEEE Trans Image Process; 2016 Oct; 25(10):4580-4595. PubMed ID: 27479966
[TBL] [Abstract][Full Text] [Related]
13. Marginalized Denoising Dictionary Learning With Locality Constraint.
Wang S; Ding Z; Fu Y
IEEE Trans Image Process; 2018 Jan; 27(1):500-510. PubMed ID: 29989998
[TBL] [Abstract][Full Text] [Related]
14. Convolutional Dictionary Learning: Acceleration and Convergence.
Chun IY; Fessler JA
IEEE Trans Image Process; 2018 Apr; 27(4):1697-1712. PubMed ID: 28991744
[TBL] [Abstract][Full Text] [Related]
15. Improving image quality for skipped phase encoding and edge deghosting (SPEED) by exploiting several sparsifying transforms.
Jin Z; Ye H; Du YP; Xiang QS
Magn Reson Med; 2016 May; 75(5):2031-40. PubMed ID: 26073301
[TBL] [Abstract][Full Text] [Related]
16. Image sequence denoising via sparse and redundant representations.
Protter M; Elad M
IEEE Trans Image Process; 2009 Jan; 18(1):27-35. PubMed ID: 19095516
[TBL] [Abstract][Full Text] [Related]
17. Online Tensor Sparsifying Transform based on Temporal Superpixels from Compressive Spectral Video Measurements.
Leon-Lopez KM; Fuentes HA
IEEE Trans Image Process; 2020 Apr; ():. PubMed ID: 32310767
[TBL] [Abstract][Full Text] [Related]
18. MRI reconstruction with joint global regularization and transform learning.
Tanc AK; Eksioglu EM
Comput Med Imaging Graph; 2016 Oct; 53():1-8. PubMed ID: 27513219
[TBL] [Abstract][Full Text] [Related]
19. Group-sparse representation with dictionary learning for medical image denoising and fusion.
Li S; Yin H; Fang L
IEEE Trans Biomed Eng; 2012 Dec; 59(12):3450-9. PubMed ID: 22968202
[TBL] [Abstract][Full Text] [Related]
20. Denoising of polychromatic CT images based on their own noise properties.
Kim JH; Chang Y; Ra JB
Med Phys; 2016 May; 43(5):2251. PubMed ID: 27147337
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
