A multimodal molecular image fusion method based on relative total variation and co‐saliency detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22815
Abstract: Image fusion can integrate complementary information from multimodal molecular images to provide an informative single result image. In order to obtain a better fusion effect, this article proposes a novel method based on relative total… read more here.
Keywords: information; total variation; fusion; relative total ... See more keywords
Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22851
Abstract: Medical diagnostics rely heavily on ultrasound imaging since it is non‐invasive, inexpensive, and able to provide images in real time. However, the inherent existence of a kind of signal‐dependent noise in these images diminishes the… read more here.
Keywords: total variation; noise; transform; ultrasound imaging ... See more keywords
A total variation prior unrolling approach for computed tomography reconstruction.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16307
Abstract: BACKGROUND With the rapid development of deep learning technology, deep neural networks can effectively enhance the performance of computed tomography (CT) reconstructions. One kind of commonly used method to construct CT reconstruction networks is to… read more here.
Keywords: total variation; prior terms; variation prior; computed tomography ... See more keywords
Morphological Component Image Restoration by Employing Bregmanized Sparse Regularization and Anisotropic Total Variation
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01268-x
Abstract: Image deblurring is a fundamental problem in imaging field which often needs to recover the important structure of images. This paper addresses the image deblurring problem by considering an image as a combination of its… read more here.
Keywords: image; part; image restoration; total variation ... See more keywords
Identifying conductivity in electrical impedance tomography with total variation regularization
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DOI: 10.1007/s00211-017-0920-8
Abstract: In this paper we investigate the problem of identifying the conductivity in electrical impedance tomography from one boundary measurement. A variational method with total variation regularization is here proposed to tackle this problem. We discretize… read more here.
Keywords: impedance tomography; conductivity electrical; conductivity; total variation ... See more keywords
Existence of parabolic minimizers to the total variation flow on metric measure spaces
Sign Up to like & getrecommendations! Published in 2022 at "manuscripta mathematica"
DOI: 10.1007/s00229-021-01350-2
Abstract: We give an existence proof for variational solutions u associated to the total variation flow. Here, the functions being considered are defined on a metric measure space $$({\mathcal {X}}, d, \mu )$$ ( X ,… read more here.
Keywords: variation flow; total variation; parabolic minimizers; metric measure ... See more keywords
The Shannon Total Variation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-017-0733-5
Abstract: Discretization schemes commonly used for total variation regularization lead to images that are difficult to interpolate, which is a real issue for applications requiring subpixel accuracy and aliasing control. In the present work, we reconciliate… read more here.
Keywords: total variation; variation; variation shannon; shannon total ... See more keywords
Combined ripplet and total variation image denoising methods using twin support vector machines
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4618-9
Abstract: The main goals of denoising are to improve the signal-to-noise-ratio (SNR) and to preserve the informative features such as edges and textures. Aiming at reducing Gibbs-type artifacts, several researchers have combined wavelet-like transforms such as… read more here.
Keywords: image; variation; using twin; total variation ... See more keywords
A nonconvex and nonsmooth anisotropic total variation model for image noise and blur removal
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08179-8
Abstract: In this paper, a nonconvex and nonsmooth anisotropic total variation model is proposed, which can provide a very sparser representation of the derivatives of the function in horizontal and vertical directions. The new model can… read more here.
Keywords: nonsmooth anisotropic; model; total variation; anisotropic total ... See more keywords
Image denoising based on mixed total variation regularization with decision-making scheme
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08531-y
Abstract: The denosing method based on total variation has achieved a remarkable denoising performance. However, it usually generates some staircase effects. To overcome the defect of total variation, a novel image denoising method based on total… read more here.
Keywords: variation; total variation; mixed total; image denoising ... See more keywords
Bounded solutions to the 1-Laplacian equation with a total variation term
Sign Up to like & getrecommendations! Published in 2018 at "Ricerche di Matematica"
DOI: 10.1007/s11587-018-0425-5
Abstract: In this paper we study the Dirichlet problem for two related equations involving the 1-Laplacian and a total variation term as reaction, namely: with homogeneous Dirichlet boundary conditions on $$\partial \varOmega $$∂Ω, where $$\varOmega $$Ω… read more here.
Keywords: term; solutions laplacian; bounded solutions; total variation ... See more keywords