Influence of sorting measures on similar segment grouping based denoising algorithms
Author:
Funder
Indian Space Research Organisation
Indian Institute of Space Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02870-y.pdf
Reference33 articles.
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2. Fan, L., Zhang, F., Fan, H., Zhang, C.: Brief review of image denoising techniques. Vis. Comput. Ind. Biomed. (2019). https://doi.org/10.1186/s42492-019-0016-7
3. Alkinani, M.H., El-Sakka, M.R.: Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction. EURASIP J. Image Video Proc. (2017). https://doi.org/10.1186/s13640-017-0203-4
4. Dhillon, D., Chouhan, R.: Edge-preserving image denoising using noise-enhanced patch-based non-local means. Multimedia Syst. 29, 1025–1041 (2023). https://doi.org/10.1007/s00530-022-01035-0
5. Buades, A., Coll, B., Morel, J.M.: Image denoising methods A new nonlocal principle. SIAM (2011). https://doi.org/10.1137/090773908
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