27 September 2017 Method for multispectral images denoising based on tensor-singular value decomposition
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Abstract
We propose a sparsity measure for third-order tensor, called all-dimension tensor nuclear norm (AD-TNN). In specific, we exploit the tensor-singular value decomposition and tensor nuclear norm (TNN), considering TNN along every dimension and then construct our AD-TNN measurement. Based on AD-TNN, we construct a model for multispectral images denoising. We also employ the alternating direction method of multipliers (ADMM) to solve our model. Experimental results show that our method outperforms all the compared methods under comprehensive quantitative performance measures.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Wenjia Zeng, Xianggan Zhang, Yechao Bai, "Method for multispectral images denoising based on tensor-singular value decomposition," Journal of Applied Remote Sensing 11(3), 035019 (27 September 2017). https://doi.org/10.1117/1.JRS.11.035019 . Submission: Received: 25 May 2017; Accepted: 31 August 2017
Received: 25 May 2017; Accepted: 31 August 2017; Published: 27 September 2017
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