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View all- Guo PShang L(2019)Image Denoising via Multiple Images Nonlocally Means and Residual Tensor DecompositionIntelligent Computing Theories and Application10.1007/978-3-030-26763-6_25(262-273)Online publication date: 24-Jul-2019
Nonlocal self-similarity shows great potential in image denoising. Therefore, the denoising performance can be attained by accurately exploiting the nonlocal prior. In this paper, we model nonlocal similar patches through the multi-linear approach and ...
The nonlocal means and iterate filtering techniques have attracted much research effort due to their superior performances. In this paper, the two approaches are combined into a framework to perform denoising based on residual tensor decomposition ...
The recently proposed fully-connected tensor network (FCTN) decomposition has a powerful ability to capture the low-rankness of tensors and has achieved great success in tensor completion. However, the FCTN decomposition-based method is highly ...
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