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Copy Number Variation Detection Using Total Variation. [PDF]
ACM BCB, 2019 Zare F, Nabavi S.
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An Algorithm for Total Variation Minimization and Applications
Journal of Mathematical Imaging and Vision, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Chambolle
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Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection
IEEE Transactions on Geoscience and Remote Sensing, 2020Anomaly detection is of great importance among hyperspectral applications, which aims at locating targets that are spectrally different from their surrounding background. A variety of anomaly detection methods have been proposed in the past.
Tongkai Cheng, Bin Wang
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SIAM Journal on Imaging Sciences, 2010
The novel concept of total generalized variation of a function $u$ is introduced, and some of its essential properties are proved. Differently from the bounded variation seminorm, the new concept involves higher-order derivatives of $u$. Numerical examples illustrate the high quality of this functional as a regularization term for mathematical imaging ...
Kristian Bredies +2 more
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The novel concept of total generalized variation of a function $u$ is introduced, and some of its essential properties are proved. Differently from the bounded variation seminorm, the new concept involves higher-order derivatives of $u$. Numerical examples illustrate the high quality of this functional as a regularization term for mathematical imaging ...
Kristian Bredies +2 more
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Properties of minimizers of the total variation and of the solutions of the total variation flow
2014 IEEE International Conference on Image Processing (ICIP), 2014We review some results obtained in collaboration with Vicent Caselles (formerly with DTIC, U. Pompeu Fabra, Barcelona) and Matteo Novaga (U. Pisa) and recent extensions obtained by the first author on the properties of the jump sets of solutions of total variation minimizing problems, including some results on explicit solutions in the 1D and radial ...
Khalid Jalalzai, Antonin Chambolle
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Adaptive total variation L1 regularization for salt and pepper image denoising
, 2020In this article, we propose an adaptive total variation (TV) regularization model for salt and pepper denoising in digital images. The adaptive TV denoising method is developed based on the general regularized image restoration model with L1 fidelity for
D. Thanh +3 more
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Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation
IEEE Transactions on Geoscience and Remote Sensing, 2019Time-series remote sensing (RS) images are often corrupted by various types of missing information such as dead pixels, clouds, and cloud shadows that significantly influence the subsequent applications.
Wei He +3 more
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Color Image Restoration by Saturation-Value Total Variation
SIAM Journal of Imaging Sciences, 2019Color image restoration is one of the important tasks in color image processing. Total variation regularizaton was proposed and employed for the recovery of edges in a grayscale image.
Zhigang Jia, M. Ng, Wei Wang
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Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization
IEEE Transactions on Geoscience and Remote Sensing, 2019Hyperspectral unmixing decomposes a hyperspectral imagery (HSI) into a number of constituent materials and associated proportions. Recently, nonnegative tensor factorization (NTF)-based methods have been proposed for hyperspectral unmixing thanks to ...
Fengchao Xiong +3 more
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