45 related articles for article (PubMed ID: 26285148)
1. A New Dictionary Construction Based Multimodal Medical Image Fusion Framework.
Zhou F; Li X; Zhou M; Chen Y; Tan H
Entropy (Basel); 2019 Mar; 21(3):. PubMed ID: 33266982
[TBL] [Abstract][Full Text] [Related]
2. Noise-aware dictionary-learning-based sparse representation framework for detection and removal of single and combined noises from ECG signal.
Satija U; Ramkumar B; Sabarimalai Manikandan M
Healthc Technol Lett; 2017 Feb; 4(1):2-12. PubMed ID: 28529758
[TBL] [Abstract][Full Text] [Related]
3. Locally linear denoising on image manifolds.
Gong D; Sha F; Medioni G
J Mach Learn Res; 2010; 2010():265-272. PubMed ID: 25309138
[TBL] [Abstract][Full Text] [Related]
4. On A Nonlinear Generalization of Sparse Coding and Dictionary Learning.
Xie Y; Ho J; Vemuri B
JMLR Workshop Conf Proc; 2013; 28(3):1480-1488. PubMed ID: 24129583
[TBL] [Abstract][Full Text] [Related]
5. Sparsity based denoising of spectral domain optical coherence tomography images.
Fang L; Li S; Nie Q; Izatt JA; Toth CA; Farsiu S
Biomed Opt Express; 2012 May; 3(5):927-42. PubMed ID: 22567586
[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. Nested Grassmannians for Dimensionality Reduction with Applications.
Yang CH; Vemuri BC
J Mach Learn Biomed Imaging; 2022 Mar; 2022():. PubMed ID: 36818740
[TBL] [Abstract][Full Text] [Related]
8. Representing Noisy Image Without Denoising.
Qi S; Zhang Y; Wang C; Xiang T; Cao X; Xiang Y
IEEE Trans Pattern Anal Mach Intell; 2024 Apr; PP():. PubMed ID: 38598383
[TBL] [Abstract][Full Text] [Related]
9. Correlation-informed ordered dictionary learning for imaging in complex media.
Moscoso M; Novikov A; Papanicolaou G; Tsogka C
Proc Natl Acad Sci U S A; 2024 Mar; 121(11):e2314697121. PubMed ID: 38451944
[TBL] [Abstract][Full Text] [Related]
10. SAMPLING OF SURFACES AND LEARNING FUNCTIONS IN HIGH DIMENSIONS.
Zou Q; Jacob M
Proc IEEE Int Conf Acoust Speech Signal Process; 2020 May; 2020():8354-8358. PubMed ID: 33603569
[TBL] [Abstract][Full Text] [Related]
11. A Snapshot Multi-Spectral Demosaicing Method for Multi-Spectral Filter Array Images Based on Channel Attention Network.
Zhang X; Dai Y; Zhang G; Zhang X; Hu B
Sensors (Basel); 2024 Feb; 24(3):. PubMed ID: 38339660
[TBL] [Abstract][Full Text] [Related]
12. A secondary EWMA-based dictionary learning algorithm for polynomial phase signal denoising.
Ou G; Zou S; Liu S; Tang J
Sci Rep; 2022 Aug; 12(1):14193. PubMed ID: 35987758
[TBL] [Abstract][Full Text] [Related]
13. Image denoising with morphology- and size-adaptive block-matching transform domain filtering.
Hou Y; Shen D
EURASIP J Image Video Process; 2018; 2018():. PubMed ID: 30956653
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Alternatively Constrained Dictionary Learning For Image Superresolution.
Lu X; Yuan Y; Yan P
IEEE Trans Cybern; 2014 Mar; 44(3):366-77. PubMed ID: 23757556
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. From heuristic optimization to dictionary learning: a review and comprehensive comparison of image denoising algorithms.
Shao L; Yan R; Li X; Liu Y
IEEE Trans Cybern; 2014 Jul; 44(7):1001-13. PubMed ID: 24002014
[TBL] [Abstract][Full Text] [Related]
19. Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction.
Alkinani MH; El-Sakka MR
EURASIP J Image Video Process; 2017; 2017(1):58. PubMed ID: 32010201
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
