Results 21 to 30 of about 2,035,117 (267)
Variational Destriping in Remote Sensing Imagery: Total Variation with L1 Fidelity
Remote Sensing, 2018 This paper introduces a variational method for destriping data acquired by pushbroom-type satellite imaging systems. The model leverages sparsity in signals and is based on current research in sparse optimization and compressed sensing.
Igor Yanovsky, Konstantin Dragomiretskiy
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Structure Tensor Total Variation [PDF]
SIAM Journal on Imaging Sciences, 2015 Summary: We introduce a novel generic energy functional that we employ to solve inverse imaging problems within a variational framework. The proposed regularization family, termed as structure tensor total variation (STV), penalizes the eigenvalues of the structure tensor and is suitable for both grayscale and vector-valued images.
Stamatios Lefkimmiatis +3 more
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Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion
Remote Sensing, 2018 Millimeter-wave interferometric synthetic aperture radiometer (InSAR) can provide high-resolution observations for many applications by using small antennas to achieve very large synthetic aperture.
Yilong Zhang +4 more
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A Variational Model for Wrapped Phase Denoising
Mathematics, 2023 This paper presents a variational model for the denoising of wrapped phase images. By enforcing the required Pythagorean trigonometric identity between the real and imaginary components of the signal, this model improves the signal-to-noise ratio of the ...
Ivan May-Cen +2 more
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Multiclass Total Variation Clustering [PDF]
, 2014 Ideas from the image processing literature have recently motivated a new set of clustering algorithms that rely on the concept of total variation. While these algorithms perform well for bi-partitioning tasks, their recursive extensions yield unimpressive results for multiclass clustering tasks.
Bresson, X +3 more
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Total Variation Wavelet Thresholding [PDF]
Journal of Scientific Computing, 2007 The authors consider the noise removal and reducing edge artifacts generated by wavelet thresholdings in image denoising and compression. It is known that wavelet thresholdings may generate oscillations near discontinuities. Since about 1990, partial differential equations (PDE) models have been used in image processing in the pixel domain [see, e.g., \
Tony F. Chan, Haomin Zhou 0001
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Remote Sensing, 2021 The fusion of the hyperspectral image (HSI) and the light detecting and ranging (LiDAR) data has a wide range of applications. This paper proposes a novel feature fusion method for urban area classification, namely the relative total variation structure ...
Yinghui Quan +6 more
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A Characterization of the Domain of Beta-Divergence and Its Connection to Bregman Variational Model
Entropy, 2017 In image and signal processing, the beta-divergence is well known as a similarity measure between two positive objects. However, it is unclear whether or not the distance-like structure of beta-divergence is preserved, if we extend the domain of the beta-
Hyenkyun Woo
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Relaxed Variable Metric Primal-Dual Fixed-Point Algorithm with Applications
Mathematics, 2022 In this paper, a relaxed variable metric primal-dual fixed-point algorithm is proposed for solving the convex optimization problem involving the sum of two convex functions where one is differentiable with the Lipschitz continuous gradient while the ...
Wenli Huang +3 more
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Image Restoration with Fractional-Order Total Variation Regularization and Group Sparsity
Mathematics, 2023 In this paper, we present a novel image denoising algorithm, specifically designed to effectively restore both the edges and texture of images. This is achieved through the use of an innovative model known as the overlapping group sparse fractional-order
Jameel Ahmed Bhutto +2 more
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