Underwater Imaging Using Low Rank Matrix and Sparse Representation for Oil Pipeline Inspection
Author:
Affiliation:
1. School of Electronic Engineering, Xi’an Shiyou University,Xi'an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10490442/10490456/10490472.pdf?arnumber=10490472
Reference10 articles.
1. Underwater Image Enhancement by Dehazing with Minimum Information Loss;Fabbri;IEEE Transactions on Image Processing,2019
2. Compressed sensing
3. Sparse and low rank recovery using adaptive thresholding;Nejati;J. Vis. Commun. Image R.,2016
4. Non-Local Image Inpainting Using Low-Rank Matrix Completion
5. Nonnegative matrix factorization with sparseness constraints;Hoyer;Journal of Machine Learning Research,2004
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