Noise Invalidation Denoising
Abstract
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).
Cite
@article{arxiv.1006.4801,
title = {Noise Invalidation Denoising},
author = {Soosan Beheshti and Masoud Hashemi and Xiao-Ping Zhang and Nima Nikvand},
journal= {arXiv preprint arXiv:1006.4801},
year = {2015}
}
Comments
9 pages, journal submission