Image Denoising Using the Higher Order Singular Value Decomposition

By Ajit Rajwade, Anand Rangarajan, Arunava Banerjee. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013

326 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/3c9ed453683b131c10fcff9da9638f54e2f834dd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ling Shao
2. Dacheng Tao
3. Luc Van Gool
4. Xuelong Li
5. Lei Zhang
6. Ming-Hsuan Yang
7. Yunjin Chen
8. Wangmeng Zuo

In Media Technology

1. Ling Shao
2. Xuelong Li
3. Qianjin Feng
4. Thomas Pock
5. Ruomei Yan
6. Yan Liu
7. Yunjin Chen
8. Wufan Chen

Citations in the corpus

• LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation (2023, unknown): “To empower graph contrastive learning for recommendation with global structure learning, we equip our LightGCL with the SVD scheme (Rajwade et al., 2012; Rangarajan, 2001) to efficiently distill important collaborative signals from the global perspective.”
• Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration (2015, methodology): “restoration are non-local methods based on patch modeling, for example, image denoising with (i) Gaussian noise [15], [26], [40], [46], (ii) multiplicative noise [14], or (iii) Poisson noise [24], image interpolation [47], image deconvolution [20], etc.”
• Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations (2018, unknown): “DHOSVD [15] applies hard threshold filtering to the higher order SVD coefficients of similar patches.”
• Denoising of 3D magnetic resonance images by using higher-order singular value decomposition (2015, methodology): “We want to thank Jose V. Manjon (Manjon et al., 2012), Matteo Maggioni (Maggioni et al., 2013), Ajit Rajwade (Rajwade et al., 2013), and Weisheng Dong (Dong et al., 2013) for publishing online their implementation of PRI-NLM3D, BM4D, HOSVD and spatially adaptive iterative singular-value…”
• From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms (2014, background): “Modeling the statistics of natural images as Gaussian distribution is problematic [50] because the local image structures cannot be well described by Gaussian.”