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A polygon-based interpolation operator for super-resolution imaging
[article]
2012
arXiv
pre-print
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We then introduce an interpolation method based on polygonal pixel overlap, express it as a linear operator, and use it to improve reconstruction. ...
We outline the super-resolution reconstruction problem posed as a maximization of probability. ...
Both were collected by David Capel and is available for download from http://www.robots.ox.ac.uk/˜vgg/data. ...
arXiv:1210.3404v2
fatcat:kkxizsmgfjgenehbbqiyfs33h4
A Super-Resolution Image Reconstruction using Natural Neighbor Interpolation
2015
Journal of Computacion y Sistemas
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In the second stage, the pixel values that match the high-resolution grid are interpolated using natural neighbor interpolation which is a weighted average interpolation method for scattered data, based ...
A super-resolution image reconstruction algorithm using natural neighbor interpolation is proposed and its performance is evaluated. ...
Conclusions In this paper we proposed a new super-resolution image reconstruction using natural neighbor interpolation. ...
doi:10.13053/cys-19-2-2068
fatcat:nx6pn5lkn5dnhpn426es5cflkq
Example-based super-resolution
2002
IEEE Computer Graphics and Applications
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Example-based approaches Super-resolution relates to image interpolation-how should we interpolate between the digital samples of a photograph? ...
We call methods for achieving high-resolution enlargements of pixel-based images super-resolution algorithms. ...
Acknowledgments We thank Ted Adelson, Owen Carmichael, and John Haddon for helpful discussions. ...
doi:10.1109/38.988747
fatcat:55znw5lox5hgnoreqg7tl7djve
A physics-based approach to oversample multi-satellite, multi-species observations to a common grid
2018
Atmospheric Measurement Techniques Discussions
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An agile, physics-based oversampling approach is developed to represent each satellite observation as a sensitivity distribution on the ground, instead of a point or a polygon as assumed in previous approaches ...
A generalized 2-D super Gaussian function is proposed to characterize the spatial response functions of both imaging grating spectrometers (e.g., OMI, OMPS, and TROPOMI) and scanning Fourier transform ...
The target grid resolution for Level 3 data ranges from 0.25 • (∼25 km) for many global operational products to 0.01 • (∼1 km) for regional oversampling. ...
doi:10.5194/amt-2018-253
fatcat:q74mkvxvkvevxfy7lspys5p2ha
Radial Hermite operators for scattered point cloud data with normal vectors and applications to implicitizing polygon mesh surfaces for generalized CSG operations and smoothing
2004
IEEE Visualization 2004
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The interpolation conditions above imply that the isosurface We describe a new technique for fitting scattered point cloud data. ...
We take existing polygon mesh surfaces and use the present methods to construct implicit volume models for these surfaces. ...
Acknowledgments Thanks to R Holmes, A. Huang, Y. Lu and S. Slyvester for their help. ...
doi:10.1109/visual.2004.87
dblp:conf/visualization/Nielson04
fatcat:az3utffjgbdyxbajbu3supamd4
Hallucinating Compressed Face Images
2017
International Journal of Computer Vision
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For non-structural regions, an efficient generic super resolution algorithm is applied to generate high-resolution counterparts. ...
For structural regions, landmarks are used to retrieve adequate high-resolution component exemplars in a large dataset based on the estimated head pose and illumination condition. ...
For the mouth, we create the polygon based on 12 surrounding landmark points. For the nose, the polygon is created based on 5 landmark points at the bottom and 1 at the top. ...
doi:10.1007/s11263-017-1044-4
fatcat:tmlquez7vne27p54dvu4pbmlsu
An Impressionistic Cartographic Solution for Base Map Land Cover with Coarse Pixel Data
2016
Cartographic Perspectives
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Additionally, raster data fine enough for a given map scale are not always available. ...
Cartographic Solution for Base Map Land Cover with Coarse Pixel Data -Raposo et al. ...
We do not attempt an interpolation or super-resolution in the uncertainty corridor for several reasons. ...
doi:10.14714/cp83.1351
fatcat:pxvfndyntbawjpgoteu4zyynhm
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
[article]
2021
arXiv
pre-print
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We show that MISR is superior to single-image super-resolution and other baselines on a range of image fidelity metrics. ...
To that end, we curate a multi-spectral multi-image super-resolution dataset, using PlanetScope imagery from the SpaceNet 7 challenge as the high resolution reference and multiple Sentinel-2 revisits of ...
In addition, most of these models do not enforce physically-based consistency between the super-resolved image and its low-resolution counterpart [3] . ...
arXiv:2111.03231v1
fatcat:lvx2qreg7fdibhjjdl77dtimwi
A physics-based approach to oversample multi-satellite, multispecies observations to a common grid
2018
Atmospheric Measurement Techniques
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An agile, physics-based oversampling approach is developed to represent each satellite observation as a sensitivity distribution on the ground, instead of a point or a polygon as assumed in previous methods ...
A generalized 2-D super Gaussian function is proposed to characterize the spatial response functions of both imaging grating spectrometers (e.g., OMI, OMPS, and TROPOMI) and scanning Fourier transform ...
Lieven Clarisse is a research associate with the Belgian F.R.S-FNRS and acknowledges the support. Edited by: Jun Wang Reviewed by: two anonymous referees ...
doi:10.5194/amt-11-6679-2018
fatcat:k7ac76iosndeta7nkj5zuw2mk4
Interactive volume on standard PC graphics hardware using multi-textures and multi-stage rasterization
2000
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware - HWWS '00
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In this paper we propose new rendering techniques that significantly improve both performance and image quality of the 2D-texture based approach. ...
However the resulting images often contain visual artifacts caused by the lack of spatial interpolation. ...
Acknowledgments We thank John Spitzer and NVidia for providing information and image material about the GeForce 256 hardware. ...
doi:10.1145/346876.348238
fatcat:e5wiwqcr7ffz5l5kgsgkntpatu
Super-resolution of periodic signals from short sequences of samples
[article]
2020
arXiv
pre-print
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For such a case, there exist some algorithms that allow for approximation of the sampled signal. However, these algorithms require bandlimitedness of the signal or noiseless samples. ...
Reconstruction of undersampled periodic signals of unknown period is an important signal processing operation. ...
The simplest super-resolution technique is based on the stroboscopic effect. To take advantage of this effect, one needs to get a precise estimate of period T . ...
arXiv:2010.11609v1
fatcat:swyh23ozdnc7tfbjsyffqscz7i
Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction
2021
Remote Sensing
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In this paper, based on image super-resolution and segmentation techniques, we propose a two-stage framework (SRBuildingSeg) for achieving super-resolution (SR) building extraction using relatively low-resolution ...
Existing methods for building extraction from remotely sensed images strongly rely on aerial or satellite-based images with very high resolution, which are usually limited by spatiotemporally accessibility ...
Acknowledgments: We appreciate acdemic editor and the anonymous reviewers for their thoughtful and constructive suggestions and comments. ...
doi:10.3390/rs13152872
fatcat:vez7co4nuvcj3bpwvfwpojr3vy
Quadratic trigonometric B-spline for image interpolation using GA
2017
PLoS ONE
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In this article, a new quadratic trigonometric B-spline with control parameters is constructed to address the problems related to two dimensional digital image interpolation. ...
The upshots show that the proposed scheme is better choice to deal with the problems associated to image interpolation. ...
Acknowledgments Authors give special thanks to Signal and Image Processing Institute (SIPI), University of Southern California, Los Angeles, CA, for allowing use of their images freely. ...
doi:10.1371/journal.pone.0179721
pmid:28640906
pmcid:PMC5481006
fatcat:rym6tb67orexnnjocd3iereble
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples
2006
2006 International Conference on Image Processing
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Based on this, a new super-resolution algorithm was developed and showed good preliminary results. ...
More importantly, we also show that those sampling schemes can be used for accurate registration of affine transformed and low-resolution images. ...
A 2-D cubic interpolation followed by a restoration with a Wiener filter were then used to obtain a 2000x2000px super-resolved image (Figure 4(c) ). ...
doi:10.1109/icip.2006.312880
dblp:conf/icip/BaboulazD06
fatcat:w42f47xdine6vi3ydx6a5smowq
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
[article]
2022
arXiv
pre-print
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For efficient training, we generate hierarchical graphs and use adaptive resolutions. ...
We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. ...
analyses, and the image-based method InSituNet [3] for comparison of image-based analyses. ...
arXiv:2202.08956v2
fatcat:clff73scivgy7oaiw6nsw4juwi
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