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Image restoration via joint low-rank and external nonlocal self-similarity prior
Signal ProcessingWei Yuan, Han Liu, Lili Liang
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Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation
2019 International Joint Conference on Neural Networks (IJCNN), 2019Semantic segmentation is a task that heavily relies on the annotated data. The image annotation cost is very expensive. While active learning aims to select the most valuable samples by an iterative procedure. It can reduce the annotation cost and improve the performance of classification.
Yao Tan, Qinghua Hu, Zhibin Du
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Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019The recent popular tensor nuclear norm (TNN), a convex surrogate of tensor tubal rank, obtains promising results in tensor completion. Although the TNN-based model has shown its prominent capability of characterizing the global structure of tensors, it lacks the capability for preserving the abundant details of the target tensor.
Tian Lu +4 more
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Color image demosaicking using inter-channel correlation and nonlocal self-similarity
Signal Processing: Image Communication, 2015Color demosaicking is used to reconstruct full color images from incomplete color filter array samples captured by cameras with a single sensor array. In reconstructing natural-looking images, one key challenge is to model and respect the statistics of natural images.
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
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Exact solutions and self-similar symmetries of a nonlocal nonlinear Schrödinger equation
The European Physical Journal Plus, 2020An analytical consideration of a nonlocal nonlinear Schrodinger equation with distributed coefficients is presented. The analysis is twofold: first, exact solutions of the nonlocal equation with constant coefficients are found along with the appropriate conditions for their existence, and second, using a similarity transformation the distributed ...
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Hyperspectral anomaly detection with nonlocal self-similarity prior
International Conference on Signal Image Processing and Communication (ICSIPC 2021), 2021Yulin Yao, Hongyi Liu, Jun Zhang
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2017
Nonlocal self-similarity sparse representation models exhibit good performance in single image super-resolution (SR) application. However, due to the independent coding process of each image patch, the global similarity information among all similar image patches in whole image is lost.
Weiguo Gong +4 more
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Nonlocal self-similarity sparse representation models exhibit good performance in single image super-resolution (SR) application. However, due to the independent coding process of each image patch, the global similarity information among all similar image patches in whole image is lost.
Weiguo Gong +4 more
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Seismic data interpolation via nonlocal self-similarity prior
SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021, 2022Xiao Niu, Lihua Fu, Wenqian Fang
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Combining total variation with nonlocal self-similarity constraint for compressed sensing MRI
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014Jian-Ping Huang +3 more
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