Noise Invalidation Denoising

作者：Beheshti Soosan^*; Hashemi Masoud; Zhang Xiao Ping; Nikvand Nima

来源：IEEE Transactions on Signal Processing, 2010, 58(12): 6007-6016.

DOI：10.1109/TSP.2010.2074199

• Confidence region
• order statistics
• thresholding

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).

• 出版日期2010-12