[PDF] Top 20 Synthetic images as a regularity prior for image restoration neural networks
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Synthetic images as a regularity prior for image restoration neural networks
... Keywords: Image restoration · Deep learning· Natural image ...Introduction A key ingredient of image restoration methods is an a priori hypothesis about image ... Voir le document complet
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Restoration of Ultrasound Images Using A Hierarchical Bayesian Model with A Generalized Gaussian Prior
... ultrasound image restoration within a Bayesian ...ultrasound image is assumed to be a generalized Gaussian distribution ...propose a hierarchical Bayesian model for ... Voir le document complet
7
Towards Perceptually Plausible Training of Image Restoration Neural Networks
... with a combined loss function of each three indi- vidual ...Pathway neural networks, reference images and test images are inputted separately as it is implemented in ...HDR-VDP. ... Voir le document complet
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Learning local regularization for variational image restoration
... framework for the learning of a compact convolutional neural network modeling the local patch regularity ...as a critic trained to distinguish noisy patches from clean ones using the ... Voir le document complet
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A review of deep-learning techniques for SAR image restoration
... remains a major hurdle for the anal- ysis of SAR ...of image restoration. The advent of deep neural networks has offered new ways to tackle this longstanding ...learning ... Voir le document complet
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Restoration of Ultrasound Images Using A Hierarchical Bayesian Model with A Generalized Gaussian Prior
... ultrasound image restoration within a Bayesian ...ultrasound image is assumed to be a generalized Gaussian distribution ...propose a hierarchical Bayesian model for ... Voir le document complet
6
Regularizing parameter estimation for Poisson noisy image restoration
... Deblurring images corrupted by Poisson noise is a challeng- ing process which has devoted much research in many ap- plications such as astronomical or biological ...explicit prior on the im- age, ... Voir le document complet
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Inverse problem formulation for regularity estimation in images
... below for more precise ...therein for examples of successful applications). In contrast to local regularity es- timation, multifractal analysis does not aim at the time- or space-resolved estimation ... Voir le document complet
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Inverse problem formulation for regularity estimation in images
... below for more precise ...therein for examples of successful applications). In contrast to local regularity es- timation, multifractal analysis does not aim at the time- or space-resolved estimation ... Voir le document complet
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Local regularity-based image denoising
... INTRODUCTION A large of number of techniques have been proposed for image ...observes a image Y which is some combination F (X, B) of the signal of interest X and a “noise” ... Voir le document complet
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Prior and macro-filling order for image completion
... efficient prior for exemplar-based algorithms has been pro- posed in ...This prior consists of lines that localize and join the edges across the missing ...the image such that for each ... Voir le document complet
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De-noising and de-blurring of images using deep neural networks
... In this paper, we test using a Learning Synthesis Deep Neural Network (LS-DNN) [2] in combination with BM3D [3], an off the shelf de-noising tool, to generate images, att[r] ... Voir le document complet
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Relating images and 3D models with convolutional neural networks
... was a vigorous discussion about the signi cance of those results to the computer vision community 1 ...from a CNN trained on ImageNet could generalize to object ...from a network trained on ImageNet ... Voir le document complet
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Image and video text recognition using convolutional neural networks
... within a text- ...also for the height of the main body of the characters as well as the height of both ascenders and ...extract a vector feature that would help to classify a text region on ... Voir le document complet
178
Learning visual representations with neural networks for video captioning and image generation
... development for machine learning grew out of the goal of understanding the working mechanism of the human brain in psychology and computational ...where a biological neuron is mathematically simplified in ... Voir le document complet
154
Neural Networks for Cross-Section Segmentation in Raw Images of Log Ends
... RGB images is treated. CS segmentation has already been studied for computed tomography images, but few study focuses on RGB ...feature for the both assessment of wood quality and wood ...In ... Voir le document complet
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Recurrent Neural Networks to Correct Satellite Image Classification Maps
... conduct a more precise labeling, this is not useful when the training data itself is ...reinjecting image information to an enhancement module that sharpens the coarse classification maps around the ...show ... Voir le document complet
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A Majorize-Minimize strategy for subspace optimization applied to image restoration
... of image restoration, using the subspace algorithm ...strategies for computing the multi-dimensional stepsize suffer either from a lack of convergence results ...from a high ... Voir le document complet
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Linear and Deformable Image Registration with 3D Convolutional Neural Networks
... methods. For the proposed method, the ad- dition of a linear component to the transformation layer does not change the performance of the network significantly in this ...locations for eleven ... Voir le document complet
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Visualization approach to assess the robustness of neural networks for medical image classification
... shown a high performance potential for medical image analysis [1], particularly classification for computer-aided ...medical images to find on which basis a network classifies ... Voir le document complet
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