Sparse Representation for Color Image Restoration

Cited by (1,000)

Items 501–600 of 1,000

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3. Image Super-Resolution Via Analysis Sparse Prior
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4. Noise Estimation From Digital Step-Model Signal
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5. Simultaneous inpainting for image structure and texture using anisotropic heat transfer model
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6. Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation
   Yu Zhang, Guorong Wu A, Pew‐Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang G. Shen · 2012 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
7. Can fully convolutional networks perform well for general image restoration problems?
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8. Side Information for Face Completion: A Robust PCA Approach
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9. Image Reconstruction by Minimizing Curvatures on Image Surface
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10. Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI
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11. Image inpainting using frequency-domain priors
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12. Four decades of image processing: a bibliometric analysis
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13. Structured Sparsity Optimization with Non-Convex Surrogates of $\ell _{2,0}$-Norm: A Unified Algorithmic Framework
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14. Theory of reduced biquaternion sparse representation and its applications
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15. Data and model dual-driven seismic deconvolution via error-constrained joint sparse representation
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16. Sparse Representations for Range Data Restoration
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17. A restoration algorithm for images contaminated by mixed Gaussian plus random-valued impulse noise
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18. Coupled Learning for Facial Deblur
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19. Polarimetric SAR Image Filtering Based on Patch Ordering and Simultaneous Sparse Coding
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20. Structure-aware image inpainting using patch scale optimization
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21. Singular value decomposition based virtual representation for face recognition
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22. Feature Extraction Method for DCP HRRP-Based Radar Target Recognition via $m-\chi$ Decomposition and Sparsity-Preserving Discriminant Correlation Analysis
    Jingjing Wang, Zheng Liu, Lei Ran, Rong Xie · 2019 · IEEE Sensors Journal
23. Bilateral filter in image processing
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24. Edge preserving single image super resolution in sparse environment
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25. An improved noninvasive method to detect Diabetes Mellitus using the Probabilistic Collaborative Representation based Classifier
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26. Patchwise dictionary learning for video forest fire smoke detection in wavelet domain
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27. A prior-guided deep network for real image denoising and its applications
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28. Image Upscaling Using Multiple Dictionaries of Natural Image Patches
    Pulak Purkait, Bhabatosh Chanda · 2013 · Lecture notes in computer science
29. Dictionary Learning Based Color Demosaicing for Plenoptic Cameras
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30. Two-dimensional bar code out-of-focus deblurring via the Increment Constrained Least Squares filter
    Ningzhong Liu, Xingming Zheng, Han Sun, Xiaoyang Tan · 2012 · Pattern Recognition Letters
31. Image Restoration: A Data-Driven Perspective
    Bin Dong, Zuowei Shen · 2015
32. Limited Tomography Reconstruction via Tight Frame and Simultaneous Sinogram Extrapolation
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33. Online Nonnegative Matrix Factorization with General Divergences
    Renbo Zhao, Vincent Y. F. Tan, Xu, Huan · 2016 · arXiv (Cornell University)
34. Bayesian Learning of Sparse Multiscale Image Representations
    James Michael Hughes, Daniel N. Rockmore, Yang Wang · 2013 · IEEE Transactions on Image Processing
35. A self-learning image super-resolution method via sparse representation and non-local similarity
    Juan Li, Jin Wu, Huiping Deng, Jin Liu · 2015 · Neurocomputing
36. D4L: Decentralized Dynamic Discriminative Dictionary Learning
    Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro · 2017 · IEEE Transactions on Signal and Information Processing over Networks
37. Removal of correlated speckle noise using sparse and overcomplete representations
    Bhabesh Deka, Prabin Kumar Bora · 2013 · Biomedical Signal Processing and Control
38. Hyperspectral Image Denoising With Dual Deep CNN
    Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He · 2019 · IEEE Access
39. Automatic Group Sparse Coding
    Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi · 2011 · Proceedings of the AAAI Conference on Artificial Intelligence
40. A sinogram denoising algorithm for low-dose computed tomography
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41. Structural adaptation for sparsely connected MLP using Newton's method
    Parastoo Kheirkhah, Kanishka Tyagi, Son P. Nguyen, MICHAEL T. MANRY · 2017 · International Joint Conference on Neural Networks (IJCNN)
42. Robust shallow water reverberation reduction methods based on low-rank and sparsity decomposition
    Yunchao Zhu, Rui Duan, Kunde Yang · 2022 · The Journal of the Acoustical Society of America
43. Visual acuity inspired saliency detection by using sparse features
    Yuming Fang, Weisi Lin, Zhijun Fang, Zhenzhong Chen, Chia‐Wen Lin, Chenwei Deng · 2015 · Information Sciences
44. Sparse representation of astronomical images
    Laura Rebollo‐Neira, James Bowley · 2013 · Journal of the Optical Society of America A
45. Missing Image Data Reconstruction Based on Adaptive Inverse Projection via Sparse Representation
    Takahiro Ogawa, Miki Haseyama · 2011 · IEEE Transactions on Multimedia
46. Color image quality assessment based on sparse representation and reconstruction residual
    Leida Li, Wenhan Xia, Yuming Fang, Ke Gu, Jinjian Wu, Weisi Lin, Jiansheng Qian · 2016 · Journal of Visual Communication and Image Representation
47. A video semantic detection method based on locality-sensitive discriminant sparse representation and weighted KNN
    Yongzhao Zhan, Junqi Liu, Jianping Gou, Minchao Wang · 2016 · Journal of Visual Communication and Image Representation
48. Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization
    Xinjian Huang, Bo Du, Weiwei Liu · 2020 · International Joint Conference on Artificial Intelligence
49. A Fast Operator-splitting Method for Beltrami Color Image Denoising
    Yuping Duan, Qiuxiang Zhong, Xue‐Cheng Tai, Roland Glowinski · 2022 · Journal of Scientific Computing
50. Quaternion weighted Schatten p -norm minimization for color image restoration with convergence guarantee
    Qinghua Zhang, Liangtian He, Yilun Wang, Liang-Jian Deng, Jun Liu · 2024 · Signal Processing
51. The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem
    Massimo Fornasier, Ronny Ramlau, Gerd Teschke · 2008 · Advances in Computational Mathematics
52. Distributed compressed sensing-based pan-sharpening with hybrid dictionary
    Wenqing Wang, Licheng Jiao, Shuyuan Yang, Kaixuan Rong · 2014 · Neurocomputing
53. Learned dictionaries for sparse image representation: properties and results
    Karl Skretting, Kjersti Engan · 2011 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
54. Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries
    Roberto Rosas-Romero · 2014 · Engineering Applications of Artificial Intelligence
55. Implicitly Weighted Methods in Robust Image Analysis
    Jan Kalina · 2012 · Journal of Mathematical Imaging and Vision
56. Learning Directional Local Pairwise Bases with Sparse Coding
    Nobuyuki Morioka, Shin’ichi Satoh · 2010 · British Machine Vision Conference (BMVC)
57. Nonlinear Compressed Sensing-Based LDA Topic Model for Polarimetric SAR Image Classification
    Chu He, Tong Zhuo, Dan Ou, Ming Liu, Mingsheng Liao · 2014 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
58. Multiplicative noise removal via adaptive learned dictionaries and TV regularization
    Shuai Li, Guodong Wang, Ximei Zhao · 2015 · Digital Signal Processing
59. Penrose Demosaicking
    Chenyan Bai, Jia Li, Zhouchen Lin, Jian Qiao Yu, Yen‐Wei Chen · 2015 · IEEE Transactions on Image Processing
60. Octonion Sparse Representation for Color and Multispectral Image Processing
    Srđan Lazendić, Hendrik De Bie, Aleksandra Pižurica · 2018 · European Signal Processing Conference (EUSIPCO)
61. Subspace clustering via structure-enforced dictionary learning
    Jinjoo Song, Gang-Joon Yoon, Kwang-Soo Hahn, Sang Min Yoon · 2019 · Neurocomputing
62. Multifeature-Based Discriminative Label Consistent K-SVD for Hyperspectral Image Classification
    Yong Ma, Yuanshu Zhang, Xiaoguang Mei, Xiaobing Dai, Jiayi Ma · 2019 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
63. Structured discriminant analysis dictionary learning for pattern classification
    Haishun Du, Yonghao Zhang, Luogang Ma, Fan Zhang · 2021 · Knowledge-Based Systems
64. Enhancement of noisy and compressed videos by optical flow and non-local denoising
    Antoni Buades, José-Luis Lisani · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
65. Learning to Maintain Natural Image Statistics
    Roey Mechrez, Itamar Talmi, Firas Shama, Lihi Zelnik‐Manor · 2018 · arXiv (Cornell University)
66. Structure-Constrained Low-Rank and Partial Sparse Representation with Sample Selection for image classification
    Yang Liu, Xueming Li, Chenyu Liu, Haixu Liu · 2016 · Pattern Recognition
67. Machinery vibration signal denoising based on learned dictionary and sparse representation
    Liang Guo, Hongli Gao, Jun Li, Haifeng Huang, Xiaochen Zhang · 2015 · Journal of Physics Conference Series
68. Exploiting the Sensitivity of L2 Adversarial Examples to Erase-and-Restore
    Fei Zuo, Qiang Zeng · 2021 · ACM Asia Conference on Computer and Communications Security (ASIA CCS)
69. Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling
    Chuangji Meng, Jinghuai Gao, Yajun Tian, Zhiqiang Wang · 2022 · IEEE Transactions on Geoscience and Remote Sensing
70. Identification of Chronic Wound Status under Tele-Wound Network through Smartphone
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71. Color image desaturation using sparse reconstruction
    Hassan Mansour, Rayan Saab, Panos Nasiopoulos, Rabab Kreidieh Ward · 2010 · IEEE International Conference on Acoustics Speech and Signal Processing
72. Learning descriptive visual representation for image classification and annotation
    Zhiwu Lu, Liwei Wang · 2014 · Pattern Recognition
73. Signal Denoising With Random Refined Orthogonal Matching Pursuit
    Shutao Li A, Leyuan Fang · 2011 · IEEE Transactions on Instrumentation and Measurement
74. A connected component labeling algorithm for sparse Lidar data segmentation
    Abhijeet A. Ravankar, Yukinori Kobayashi, Ankit A. Ravankar, Takanori Emaru · 2015 · International Conference on Automation, Robotics and Applications
75. Semi-supervised dictionary learning with label propagation for image classification
    Chen Lin, Meng Yang · 2017 · Computational Visual Media
76. Data-driven simultaneous seismic inversion of multiparameters via collaborative sparse representation
    Bin She, Yan Wang, Jiandong Liang, Guangmin Hu · 2019 · Geophysical Journal International
77. Recent developments in computational color image denoising with PDEs to deep learning: a review
    Nadeem Salamat, Malik Muhammad Saad Missen, V. B. Surya Prasath · 2021 · Artificial Intelligence Review
78. People re-identification by classification of silhouettes based on sparse representation
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79. Sparse Dictionary Reconstruction for Textile Defect Detection
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80. Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding
    Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang · 2015 · Proceedings of the AAAI Conference on Artificial Intelligence
81. Image Modeling and Enhancement via Structured Sparse Model Selection
    Guoshen Yu, Guillermo Sapiro, Stéphane Mallat · 2010
82. Dictionary-Based Domain Adaptation Methods for the Re-identification of Faces
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83. Sparse representation based on vector extension of reduced quaternion matrix for multiscale image denoising
    Shan Gai, Long Wang, Guowei Yang, Peng Yang · 2016 · IET Image Processing
84. Image denoising based on sparse representation and gradient histogram
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85. Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification
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87. Recovery of Blood Flow From Undersampled Photoacoustic Microscopy Data Using Sparse Modeling
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88. Fusion of sparse non-co-located measurements from multiple sources for geotechnical site investigation
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89. Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
    Jun Cheng, Tao Liu, Shan Tan · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
90. Identigram/watermark removal using cross-channel correlation
    Jaesik Park, Yu‐Wing Tai, In So Kweon · 2012 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
91. Improved face recognition using super-resolution
    Emil Bilgazyev, Boris Efraty, Shishir K. Shah, Ioannis A. Kakadiaris · 2011 · IEEE International Joint Conference on Biometrics (IJCB)
92. Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal
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93. Class relatedness oriented-discriminative dictionary learning for multiclass image classification
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95. Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect
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96. Sparse representation-based classification: Orthogonal least squares or orthogonal matching pursuit?
    Minshan Cui, Saurabh Prasad · 2016 · Pattern Recognition Letters
97. Text detection in natural scene images using morphological component analysis and Laplacian dictionary
    Shuping Liu, Yantuan Xian, Huafeng Li, Zhengtao Yu · 2017 · IEEE/CAA Journal of Automatica Sinica
98. Texture Inpainting Using Efficient Gaussian Conditional Simulation
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99. Image denoising via overlapping group sparsity using orthogonal moments as similarity measure
    Ahlad Kumar, M. Omair Ahmad, M.N.S. Swamy · 2018 · ISA Transactions
100. Image denoising via sparse representations over Sequential Generalization of K-means (SGK)
     Sujit Kumar Sahoo, Anamitra Makur · 2013 · International Conference on Information, Communications & Signal Processing (ICICS)