Noise Invalidation Denoising
| Autor: | Beheshti, Soosan, Hashemi, Masoud, Zhang, Xiao-Ping, Nikvand, Nima |
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| Rok vydání: | 2010 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1109/TSP.2010.2074199 |
| Popis: | A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to denoise the data. The novelty of this approach is in presenting a general-purpose denoising in the sense that it does not need to employ any particular assumption on the structure of the noise-free signal, such as data smoothness or sparsity of the coefficients. An advantage of the method is in denoising the corrupted data in any complete basis transformation (orthogonal or non-orthogonal). Experimental results show that the proposed method, called Noise Invalidation Denoising (NIDe), outperforms existing denoising approaches in terms of Mean Square Error (MSE). Comment: 9 pages, journal submission |
| Databáze: | arXiv |
| Externí odkaz: |
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