single-image
Fast Single Image Super-Resolution Using a New Analytical Solution for l2–l2 Problems
... of single image super-resolution (SR), which consists of recovering a high- resolution image from its blurred, decimated, and noisy ...for single image SR use different strate- gies to ...
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Single-Image Super-Resolution via Linear Mapping of Interpolated Self-Examples
... 1) The employment of a DM reconstruction method (i.e. MLR), instead of NE; 2) The introduction of a different training and upscaling scheme, i.e. the “double” pyramid. To singularly evaluate the two “ingredients” above, ...
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Automatic Class-Specific 3D Reconstruction from a Single Image
... in single-view reconstruction focuses on automatic reconstruction of generic scene elements such as the ground plane, vertical building facades, ...classify image regions into geometric classes (ground, ...
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Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
... expresses image conditioned 3D shape inference through a family of latent variable models, and naturally decouples the choice of shape representations from the inference ...the image conditioning and allows ...
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Fast Single Image Super-Resolution Using a New Analytical Solution for l2–l2 Problems
... of single image super-resolution (SR), which consists of recovering a high- resolution image from its blurred, decimated, and noisy ...for single image SR use different strate- gies to ...
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On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging
... Index Terms— Single image super-resolution, structural MRI, segmentation, tensors, total variation regularization, low rank. 1. INTRODUCTION Cerebral aging is a complex process where severe morphological ...
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Single image super-resolution of medical ultrasound images using a fast algorithm
... University of Cambridge, Department of engineering, UK {nzhao, jean-yves.tourneret}@enseeiht.fr, {qw245}@cam.ac.uk, {adrian.basarab, denis.kouame}@irit.fr ABSTRACT This paper addresses the problem of super-resolution ...
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Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding
... a single-step magnification is ...other single-image SR methods, is shown to give good visual results and to present a much reduced time complexity, thanks to the one-step upscaling procedure adopted ...
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Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
... a single flash photograph of a material sample (insets), our deep learning approach predicts a spatially-varying ...a single image based on such cues has challenged researchers in com- puter graphics ...
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On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging
... Index Terms— Single image super-resolution, structural MRI, segmentation, tensors, total variation regularization, low rank. 1. INTRODUCTION Cerebral aging is a complex process where severe morphological ...
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Procedural Modeling of a Building from a Single Image
... a single image of a ...input image to match the visual appearance of synthetic training data, and in using optimization to refine the parameters estimated by ...
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Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method
... 4. CONCLUSION This paper described a study of the effectiveness of single-image SR in SAM. Based on total variation regularization and on a recently proposed ADMM-based optimization technique, the ...
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Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation
... non-blind single image super-resolution tech- nique using tensor factorization has been recently introduced by our ...high-resolution image reconstruction with equivalent image quality ...
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Reconstructing Plants in 3D from a single Image using Analysis by Synthesis
... Reconstructing Plants in 3D from a Single Image 323 1 Introduction Procedural methods to generate plant models allow to build a complex plant architecture from few simple rules [1]. Lindenmayer first ...
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Markov Random Field Model for Single Image Defogging
... the image without ...input image is noisy, a case which was never studied ...for image defogging when the depth-map is assumed ...MRF single image ...
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Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation
... Terms— image enhancement, 3D super-resolution, semi-blind deconvolution, 3D computed tomography ...the image quality in terms of resolution either by modifications of the hardware or as a post-processing ...
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Single image super-resolution of medical ultrasound images using a fast algorithm
... The single image SR problem was solved in [8] with the alternat- ing direction method of multipliers (ADMM) by separating the SR problem into up-sampling and deconvolution steps that can be ...
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Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization
... IRISA-INRIA, Campus de Beaulieu, 35042 Rennes Cedex, France † Alcatel-Lucent, Bell Labs France, Route de Villejust, 91620 Nozay, France ABSTRACT This paper describes a novel method for single-image super- ...
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Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object
... by a specific supervision classifier [41], [45]. In [45], a con volutional neural network (CNN) architecture is introduced to predict a viewpoint. They combine multi-scale appearance with a viewpoint-conditioned ...
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Reconstructing Plants in 3D from a Single Image Using Analysis-by-Synthesis
... Wang et al. [15] model different species of trees using images of tree samples from the real world which are analysed to extract similar elements. A stochastic model to assemble these element is also parameterized from ...
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