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Image and video restoration

Information Theory Oriented Image Restoration

Information Theory Oriented Image Restoration

... of image restoration. Many problems of image and video processing can be expressed as the minimization of a data con- sistency residual and a term of mismatch with respect to a ...

166

A Multicore Convex Optimization Algorithm with Applications to Video Restoration

A Multicore Convex Optimization Algorithm with Applications to Video Restoration

... in image processing, such as video restora- tion, can be formulated as nonsmooth optimization problems over large ...exist, and developing iter- ative strategies becomes ...

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Bayesian image restoration for mosaic active imaging

Bayesian image restoration for mosaic active imaging

... laser and is acquired at standard video rates, say 10 ...power and plug-eciencies within a few ...full-frame image at 10 Hz. The formation of each elementary image can be modeled as ...

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Nonlocal Mumford-Shah Regularizers for Color Image Restoration

Nonlocal Mumford-Shah Regularizers for Color Image Restoration

... as image interpolation, is the process of reconstructing lost or corrupted parts of an image, that is an interesting and important inverse problem with many applications such as removal of scratches ...

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Restoration super-resolution of image sequences : application to TV archive documents

Restoration super-resolution of image sequences : application to TV archive documents

... noise. Video deblurring is highly related to multi-image deconvolution [ Paragios et ...Sroubek and Milanfar , 2012 ...kernels and reduces the ill- posedness of the problem. However, ...

183

Towards Perceptually Plausible Training of Image Restoration Neural Networks

Towards Perceptually Plausible Training of Image Restoration Neural Networks

... in image and video processing ...gradient-descent and back-propagation algorithms which requires to calculate the gradient of the loss ...differentiable, and despite their superior ...

6

Validation of image restoration methods on 3D-printed ultrasound phantoms

Validation of image restoration methods on 3D-printed ultrasound phantoms

... ESULTS AND D ISCUSSION A. Phantom quality and reproducibility The reproducibility of phantom printing can refer to reproducibility between or within ...B-mode image of a successfully printed typical ...

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Validation of image restoration methods on 3D-printed ultrasound phantoms

Validation of image restoration methods on 3D-printed ultrasound phantoms

... function and the originally acquired B-mode image, performance of image restoration methods could be evaluated quantitatively through comparison of root mean square error and full width ...

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Simultaneous Image Restoration and Hyperparameter Estimation for Incomplete Data by a Cumulant Analysis

Simultaneous Image Restoration and Hyperparameter Estimation for Incomplete Data by a Cumulant Analysis

... sampling and annealing properties. Moreover, the definition and use of their cu- mulant expansions enables to exhibit other important properties of such distribu- ...for image restoration ...

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Priority image and video encoding transmission based on a discrete Radon transform

Priority image and video encoding transmission based on a discrete Radon transform

... of image compression toward a global wire- less transmission ...system and an Unequal Error Protection (UEP) scheme driven by semantic information reflecting the error sensitivity of each part of the ...

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Image Sequence Restoration: A PDE Based Coupled Method for Image Restoration and Motion Segmentation

Image Sequence Restoration: A PDE Based Coupled Method for Image Restoration and Motion Segmentation

... 101 - 54602 Villers lès Nancy Cedex France Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex France Unité de recherche INRIA Rhône-Alpes : 65[r] ...

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Multidimensional Hidden Markov Model Applied to Image and Video Analysis

Multidimensional Hidden Markov Model Applied to Image and Video Analysis

... La classification d’images constitue sans doute, la partie la plus importante de l’analyse de l’image numérique. L’objectif est d’identifier et de décrire les caractéris- tiques présentes dans une image afin de ...

165

Light-field image and video compression for future immersive applications

Light-field image and video compression for future immersive applications

... a video service that would require rendering about 80 ...encoding and rendering 80 views are realistic and coherent with future networks requirements to support 4K/8K, although some considerations on ...

179

Fast image and video segmentation based on alpha-tree multiscale representation

Fast image and video segmentation based on alpha-tree multiscale representation

... new image model, namely the α-tree [1], has been introduced as a powerful tool for multiscale image ...compact and efficient way to access image content, and can be further exploited in ...

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Image and video quality assessment using LCD: comparisons with CRT conditions

Image and video quality assessment using LCD: comparisons with CRT conditions

... rate and the precise calibration of apparatus to have 4×4 CCD cam- era pixels to picture one display pixel permit us to achieve this motion compensation ...2 and the parameter a can then be identified with ...

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Learning visual representations with neural networks for video captioning and image generation

Learning visual representations with neural networks for video captioning and image generation

... bag and all items in the bag are different from each ...of image and video captioning, atoms are defined as words in captions that are most related to actions, entities, and attributes ...

154

Image restoration using a kNN-variant of the mean-shift

Image restoration using a kNN-variant of the mean-shift

... Lena image (256x256) adding a gaussian noise with standard deviation σ = ...original image has in- tensity ranging from 0 to ...hoods, and we add spatial features to the original radiometric data ...

5

Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration

Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration

... function and allows for stochastic errors in the evaluation of the proximity operator of the nonsmooth ...convergence, and apply it to an online image restoration ...

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Fast Visibility Restoration from a Single Color or Gray Level Image

Fast Visibility Restoration from a Single Color or Gray Level Image

... colors and reduces the contrast of the observed ...algorithm and variants for visibility restoration from a single ...of image pixels only. This speed allows visibility restoration to ...

8

A review of deep-learning techniques for SAR image restoration

A review of deep-learning techniques for SAR image restoration

... polarimetric and/or interferometric SAR Most deep learning approaches for speckle reduction focused on the case of intensity ...Polarimetric and in- terferometric information are encoded in complex-valued ...

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