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International Journal of Remote Sensing Volume 42, 2021 - Issue 8
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Research Article

Adaptive Image Denoising with Block-Rotation-Based SVD Filtering and Edge Detection

Min Wanga School of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing, ChinaCorrespondence[email protected]
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,
Shudao Zhoub College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, China;c Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, ChinaView further author information
&
Zhanhua Liub College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, ChinaView further author information
Pages 3166-3179 | Received 14 Apr 2020, Accepted 24 Oct 2020, Published online: 28 Jan 2021

References

  • Aharon, M., M. Elad, and A. Bruckstein. 2006. “K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation.” IEEE Transactions on Signal Processing 54 (11): 4311–4322.
  • Canny, J. 1986. “A Computational Approach to Edge Detection.” IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (6): 679–698. doi:10.1109/TPAMI.1986.4767851.
  • Elad, M., and M. Aharon. 2006. “Image Denoising via Sparse and Redundant Representations over Learned Dictionaries.” IEEE Transactions on Image Processing 15 (12): 3736–3745. doi:10.1109/TIP.2006.881969.
  • Hou, Z. 2003. “Adaptive Singular Value Decomposition in Wavelet Domain for Image Denoising.” Pattern Recognition 36 (8): 1747–1763.
  • Jain, P., and V. Tyagi. 2017. “An Adaptive Edge-preserving Image Denoising Using Patch-based weighted-SVD Filtering in Wavelet Domain.” Multimedia Tools and Applications 76 (2): 1659–1679. doi:10.1007/s11042-015-3154-8.
  • Jha, S. K., and R. D. S. Yadava. 2011. “Denoising by Singular Value Decomposition and Its Application to Electronic Noise Data Processing.” IEEE Sensors Journal 11 (1): 35–44.
  • Khan, N. U., and K. V. Arya. 2018. “Two Stage Image De-noising by SVD on Large Scale Heterogeneous Anisotropic Diffused Image Data.” Multimedia Tools and Applications 5: 24.
  • Konstantinides, K., B. Natarajan, and G. S. Yovanof. 1997. “Noise Estimation and Filtering Using Block-based Singular Value Decomposition.” IEEE Transactions on Image Processing 6 (3): 479–483.
  • Kuzhali, S. E., and D. S. Suresh. 2018. “Patch-Based Denoising with K-Nearest Neighbor and SVD for Microarray Images.” Software Engineering and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing 763: 132–147.
  • Talebi, H., X. Zhu, and P. Milanfar. 2013. “How to SAIF-ly Boost Denoising Performance.” IEEE Transactions on Image Processing 22 (4): 1470–1485. doi:10.1109/TIP.2012.2231691.
  • Yin, K., Z. Lei, and Y. Zhang. 2014. “An Adaptive Rank-sparsity K-SVD Algorithm for Image Sequence Denoising.” Pattern Recognition Letters 45 (11): 46–54.
  • Zhang, Y. Y., and C. Y. Suen. 1984. “A Fast Parallel Algorithm for Thinning Digital Patterns.” Communications of the ACM 27 (3): 236–239. doi:10.1145/357994.358023.

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