New Fast and Efficient Techniques for Image Denoising Using VQ, PCA, SVD, Soft Thresholding and Wiener Filter
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-3125-5_5
Reference19 articles.
1. Dabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans Image Process 16(8):2080–2095
2. Dong W, Zhang L, Shi G, Li X (2013) Nonlocally centralized sparse representation for image restoration. IEEE Trans Image Process 22(4):1620–1630
3. Dhannawat Rachana, Patankar Archana (2018) A short review on image restoration of noisy and blurred images and comparison of state of art algorithms. Int J Adv Res Comput Sci 9(5):181–185
4. Zhang L, Dong W, Zhang D, Shi G (2010) Two-stage image denoising by principal component analysis with local pixel grouping. Elsevier J Pattern Recogn 43:1531–1549
5. Aharon M, Elad M, Bruckstein A (2006) K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 54(11):4311–4322
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