Results 171 to 180 of about 19,283,190 (228)
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Texture-aware total variation-based removal of sun glint in hyperspectral images
, 2020Sun glint in hyperspectral images (HSIs) leads to undesirable spectral interference, which severely affects subsequent image interpretation, such as environmental monitoring of coastal areas.
Puhong Duan +5 more
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Total Variation Wavelet Inpainting
Journal of Mathematical Imaging and Vision, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tony F. Chan +2 more
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On the Total Variation Dictionary Model
IEEE Transactions on Image Processing, 2010The goal of this paper is to provide a theoretical study of a total variation (TV) dictionary model. Based on the properties of convex analysis and bounded variation functions, the existence of solutions of the TV dictionary model is proved. We then show that the dual form of the model can be given by the minimization of the sum of the l(1) -norm of ...
Tieyong Zeng, Michael K. Ng 0001
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On the Total Variation of a Function
Canadian Mathematical Bulletin, 1981There are a number of theories which assign to a function defined on the real line a measure that reflects somehow the variation of that function. The most familiar of these is, of course, the Lebesgue-Stieltjes measure associated with any monotonie function.
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2011
The use of total variation as a regularization term in imaging problems was motivated by its ability to recover the image discontinuities. This is at the basis of his numerous applications to denoising, optical flow, stereo imaging and 3D surface reconstruction, segmentation, or interpolation, to mention some of them.
CASELLES V, CHAMBOLLE A, NOVAGA, MATTEO
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The use of total variation as a regularization term in imaging problems was motivated by its ability to recover the image discontinuities. This is at the basis of his numerous applications to denoising, optical flow, stereo imaging and 3D surface reconstruction, segmentation, or interpolation, to mention some of them.
CASELLES V, CHAMBOLLE A, NOVAGA, MATTEO
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Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019In this paper, a novel multi-scale total variation method is proposed to extract structural features from hyperspectral images (HSIs), which consists of the following steps.
Puhong Duan +3 more
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Total Cyclic Variation and Generalizations
Journal of Mathematical Imaging and Vision, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Cremers, Evgeny Strekalovskiy
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Image Completion Using Low Tensor Tree Rank and Total Variation Minimization
IEEE transactions on multimedia, 2019Tensor completion recovers missing entries of multiway data. Most of the current methods exploit the low-rank tensor structure for image completion applications. In this paper, we simultaneously exploit the globally multidimensional structure and locally
Yipeng Liu, Zhen Long, Ce Zhu
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Decorrelated Vectorial Total Variation
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014This paper proposes a new vectorial total variation prior (VTV) for color images. Different from existing VTVs, our VTV, named the decorrelated vectorial total variation prior (D-VTV), measures the discrete gradients of the luminance component and that of the chrominance one in a separated manner, which significantly reduces undesirable uneven color ...
Shunsuke Ono, Isao Yamada
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2010 IEEE International Conference on Image Processing, 2010
We propose total subset variation (TSV), a convexity preserving generalization of the total variation (TV) prior, for higher order clique MRF. A proposed differentiable approximation of the TSV prior makes it amenable for use in large images (e.g. 1080p).
Sanjeev Kumar 0003, Truong Q. Nguyen
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We propose total subset variation (TSV), a convexity preserving generalization of the total variation (TV) prior, for higher order clique MRF. A proposed differentiable approximation of the TSV prior makes it amenable for use in large images (e.g. 1080p).
Sanjeev Kumar 0003, Truong Q. Nguyen
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