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[PDF] Top 20 Dual Norm Based Iterative Methods for Image Restoration

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Dual Norm Based Iterative Methods for Image Restoration

Dual Norm Based Iterative Methods for Image Restoration

... distance for minimizing a convex function defined on a non-reflexive Banach space ...the dual of a separable Banach space. Based on this method, we investigate several approaches for ... Voir le document complet

28

Wasserstein Loss for Image Synthesis and Restoration

Wasserstein Loss for Image Synthesis and Restoration

... input image without much randomization or “innovation”—see [ 1 , 62 ] for an experimental exploration of this ...through iterative projections, may be seen as a precursor of such variational ... Voir le document complet

28

A simulation study on the choice of regularization parameter in l2-norm ultrasound image restoration

A simulation study on the choice of regularization parameter in l2-norm ultrasound image restoration

... ultrasound image restoration* Zhouye Chen, Adrian Basarab, Denis Kouam´e Abstract— Ultrasound image deconvolution has been widely investigated in the ...are based on ℓ 2 -norm ... Voir le document complet

5

A simulation study on the choice of regularization parameter in l2-norm ultrasound image restoration

A simulation study on the choice of regularization parameter in l2-norm ultrasound image restoration

... US image and its deconvolution results (B-mode visualisation) for Q = Q 2DL ...not based on the knowledge of the SNR (GCV and ML) are still providing interesting results in US image ... Voir le document complet

6

Wasserstein Loss for Image Synthesis and Restoration

Wasserstein Loss for Image Synthesis and Restoration

... input image without much randomization or “innovation”—see [1, 62] for an experimental exploration of this ...through iterative projections, may be seen as a precursor of such variational ...recopy ... Voir le document complet

27

A Majorize-Minimize strategy for subspace optimization applied to image restoration

A Majorize-Minimize strategy for subspace optimization applied to image restoration

... optimization methods in the context of image ...optimization methods belong to the class of iterative descent algorithms for unconstrained ...such methods, a stepsize vector ... Voir le document complet

28

Wavelet-based restoration methods: application to 3D confocal microscopy images

Wavelet-based restoration methods: application to 3D confocal microscopy images

... an iterative algorithm for 3D confocal microcopy image ...The image quality is limited by the diffraction-limited nature of the optical system which causes blur and the reduced amount of light ... Voir le document complet

12

A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood

A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood

... existing restoration methods rely on approximations of the Poisson-Gaussian noise ...strategy for the reconstruction of images degraded by a linear operator and corrupted with a mixed Poisson- ... Voir le document complet

22

Hybrid methods for image compression

Hybrid methods for image compression

... search for the responsive range blocks of the transformed domain blocks, so that the encoding time is ...reduced. For fractal compression, we change the variable parameters to get multi-resolution images; ... Voir le document complet

126

Accelerated iterative regularization via dual diagonal descent

Accelerated iterative regularization via dual diagonal descent

... approaches based on a dual accelerated gradient descent was shown to be optimal with less iterations in [ 45 ...]. Iterative regularization methods have been studied also for convex ... Voir le document complet

34

Iterative Methods for Visualization of Implicit Surfaces on GPU

Iterative Methods for Visualization of Implicit Surfaces on GPU

... Implementation. We use a well fit bounding box around the torus from where the ray-casting starts. Therefore, the starting point is not so far from the root, but we can still push it forward. Before applying the Newton ... Voir le document complet

12

The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction

The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction

... [57]–[59]. For the AEF data set, we report results for AEFs evoked by left auditory stimulation with pure tones of 500 ...window for source estimation was chosen from 50 ms to 200 ms based on ... Voir le document complet

12

Iterative Methods for Model Reduction by Domain Decomposition

Iterative Methods for Model Reduction by Domain Decomposition

... In conclusion we presented some possible implementations of a method to reduce the extent of the computational domain in the numerical solution of partial differential equations. The idea of using models that take into ... Voir le document complet

20

Information Theory Oriented Image Restoration

Information Theory Oriented Image Restoration

... values for the proposed and reference algorithms (we discard PPB and BM3D in the homomorphic context, by ...those for the Rosen3 image, whose filtered versions are shown in ...PPB image looks ... Voir le document complet

166

Space Variant Blind Image Restoration

Space Variant Blind Image Restoration

... BD methods based on a similar approach either attempt to minimize the criterion assuming the exis- tence of such a minimum, either assume some hypothesis on the objective function to be ...minimized. ... Voir le document complet

50

Space Variant Blind Image Restoration

Space Variant Blind Image Restoration

... that image, we approximate the depth-variant PSF by a combination of two space invariant PSFs, taken at the top and the bottom of the ...recovered image using SGPAM and RRLAM methods are shown in ... Voir le document complet

31

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

... representations for more effective image-text ...extracts image features not only from the CNN branch but also from a graph attention convo- lution layer based on a visual scene ...the ... Voir le document complet

7

A Comparison of Image Based 3D Recovery Methods for Underwater Inspections

A Comparison of Image Based 3D Recovery Methods for Underwater Inspections

... essential for analyzing the increased hydrodynamic forces acting on the ...of image based shape recovery techniques; stereo photography and Structure from Motion ...a dual camera set-up to ... Voir le document complet

9

An augmented iterative method for identifying a stress-free reference configuration in image-based biomechanical modeling

An augmented iterative method for identifying a stress-free reference configuration in image-based biomechanical modeling

... Also, we solve all forward problems employ- 70 ing the open-source finite element packages FEBio (www.febio.org) and use Matlab for all auxiliary tasks [17]. We begin our analysis with a canonical problem in- ... Voir le document complet

7

A review of deep-learning techniques for SAR image restoration

A review of deep-learning techniques for SAR image restoration

... hurdle for the anal- ysis of SAR ...reduction methods closely follows methodological progress in the field of image ...learning for speckle reduction is a very active research topic and ... Voir le document complet

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