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[PDF] Top 20 Super-resolution-based inpainting

Has 10000 "Super-resolution-based inpainting" found on our website. Below are the top 20 most common "Super-resolution-based inpainting".

Super-resolution-based inpainting

Super-resolution-based inpainting

... examplar-based inpainting, super-resolution 1 Introduction Image inpainting refers to methods which consist in filling-in missing regions (holes) in an image ...diffusion based ... Voir le document complet

15

Hierarchical super-resolution-based inpainting

Hierarchical super-resolution-based inpainting

... diffusion based on partial differential equa- tions [1], [2] and variational methods ...diffusion- based methods tend to introduce some blur when the hole to be filled in is ...examplar- based) can ... Voir le document complet

14

Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

... single-image super-resolution (SR) algorithm based on non- negative neighbor ...low resolution (LR) and high resolution (HR) trained patch pairs to infer the unknown HR ... Voir le document complet

11

Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization

Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization

... single-image super- resolution (SR) based on a neighbor embedding technique which uses Semi-Nonnegative Matrix Factorization ...the super-resolved im- ... Voir le document complet

5

Algorithms for super-resolution of images and videos based on learning methods

Algorithms for super-resolution of images and videos based on learning methods

... tial resolution of images and ...high- resolution image, and single-image methods, that aim at upscaling a single ...the super- resolved images and computational ...the resolution of an entire ... Voir le document complet

171

Hyperspectral super-resolution with coupled Tucker approximation: Recoverability and SVD-based algorithms

Hyperspectral super-resolution with coupled Tucker approximation: Recoverability and SVD-based algorithms

... the super-resolution image has approximately low multilinear rank, we reformulate the HSR problem as a coupled Tucker ...named Super-resolution based on COupled Tucker Tensor ... Voir le document complet

16

Hyperspectral super-resolution accounting for spectral variability: LL1-based recovery and blind unmixing

Hyperspectral super-resolution accounting for spectral variability: LL1-based recovery and blind unmixing

... a super-resolution method was proposed, combining the HSI and MSI accounting for seasonal spectral ...algorithms based on Tucker and block-term decompositions were proposed, accounting for ... Voir le document complet

14

Algorithms for super-resolution of images based on sparse representation and manifolds

Algorithms for super-resolution of images based on sparse representation and manifolds

... ods: K-means, AGNN and GOC. This way, we aim to show that our proposed geometry-aware sparsity-based learning strategy can be used for improving the state of the art in super-resolution. In this ... Voir le document complet

168

Patch-based super-resolution for arterial spin labeling MRI

Patch-based super-resolution for arterial spin labeling MRI

... P ATCH - BASED SUPER - RESOLUTION FOR ARTERIAL SPIN LABELING MRI C. Meurée 1,2,3,4,5 , P. Maurel 2,3,4,5 , E. Bannier 2,3,4,5,6 , C. Barillot 2,3,4,5 1 Siemens Healthineers, Saint-Denis, France 2 ... Voir le document complet

2

Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation

Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation

... 3D super-resolution, semi-blind deconvolution, 3D computed tomography ...INTRODUCTION Super-resolution algorithms attempt to enhance the image quality in terms of resolution either by ... Voir le document complet

7

High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation

High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation

... spatial resolution achieving performance beyond the diffraction limit by sequentially activating and imaging small sub- sets of ...temporal resolution of such microscopy ... Voir le document complet

5

Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation

Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation

... 3D super-resolution, semi-blind deconvolution, 3D computed tomography ...INTRODUCTION Super-resolution algorithms attempt to enhance the image quality in terms of resolution either by ... Voir le document complet

6

Deep Learning-Based Super-Resolution Applied to Dental  Computed Tomography

Deep Learning-Based Super-Resolution Applied to Dental Computed Tomography

... II. M ETHODS A. Data Acquisition and Preprocessing Images of 17 intact freshly extracted teeth (incisors, canines, premolars, and molars for structural diversity) were acquired. These teeth were donated anonymously for ... Voir le document complet

10

Super-resolution using Neighbor Embedding of Back-projection residuals

Super-resolution using Neighbor Embedding of Back-projection residuals

... pyramid- based algorithm, however, as it progressively reconstruct the SR image in many passes, requires more computational ...schemes, based on enhanced interpolations, and the JKC-based dictionary ... Voir le document complet

9

Plane-Based Multi-View Inpainting for Image-Based Rendering in Large Scenes

Plane-Based Multi-View Inpainting for Image-Based Rendering in Large Scenes

... of inpainting in rectified space has some similari- ties to texture mapping scenes captured with multi-view stereo ...limited inpainting of small regions on object surfaces, but do not inpaint ...by ... Voir le document complet

12

Super-resolution of Point Set Surfaces using Local Similarities

Super-resolution of Point Set Surfaces using Local Similarities

... resampled, based on a local surface height ...similarity based denoising has been proposed for surface meshes [YBS06] and point clouds [Dig12, ...the inpainting problem [SACO04], which involves ... Voir le document complet

11

Convex Super-Resolution Detection of Lines in Images

Convex Super-Resolution Detection of Lines in Images

... I. I NTRODUCTION Many restoration or reconstruction imaging problems are ill-posed and must be regularized. So, they can be formulated as convex optimization problems formed by the combination of a data fidelity term ... Voir le document complet

6

Theoretical and Numerical Analysis of Super-Resolution Without Grid

Theoretical and Numerical Analysis of Super-Resolution Without Grid

... for super-resolution in presence of noise of sparse sig- nals comes with strong theoretical guarantees (see Part I of the ...Transport based metric and for detection indices based ... Voir le document complet

237

Super-resolution ultrasound imaging

Super-resolution ultrasound imaging

... correction Super-resolution ultrasound imaging can achieve resolution down to 5 ...microscopic resolution requires long acquisition time (Hingot et ...motion based on the ultrasound ... Voir le document complet

54

On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging

On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging

... approach based on the tensor factorization of the image orig- inally validated on CT images was evaluated and compared to the 3D low-rank SR with TV regularization approach proposed for MR ... Voir le document complet

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