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Lagrange wavelets for signal processing
2001
IEEE Transactions on Image Processing
Preserved Fulltext
These are utilized to rescale the wavelet coefficients, remove perceptual redundancy and obtain good visual performance for digital image processing. ...
This paper deals with the design of interpolating wavelets based on a variety of Lagrange functions, combined with novel signal processing techniques for digital imaging. ...
Our image processing method can be regarded as a blind restoration technique for any image. ...
doi:10.1109/83.951535
pmid:18255493
fatcat:hakjhoysrvbcpozstygegzlngm
Corruptive Artifacts Suppression for Example-Based Color Transfer
2014
IEEE transactions on multimedia
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Example-based color transfer is a critical operation in image editing but easily suffers from some corruptive artifacts in the mapping process. ...
Then, a self-learning filtering scheme is applied into the transfer process to prevent from artifacts and extract details. ...
Li Xu for inspiring discussions and encouragement, the associate editor Prof. Adrian Munteanu and anonymous reviewers for their constructive comments. ...
doi:10.1109/tmm.2014.2305914
fatcat:h3l6r2gwrvb5hokjh7y7mdrmce
Difference Curvature Multidimensional Network for Hyperspectral Image Super-Resolution
2021
Remote Sensing
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as an edge indicator to fully preserve the texture information and eliminate the unwanted noise. ...
In this paper, we present a difference curvature multidimensional network for hyperspectral image super-resolution that exploits the spectral correlation to help improve the spatial resolution. ...
Sciences and Space Application Laboratory, University of Tokyo for providing the datasets. ...
doi:10.3390/rs13173455
fatcat:6pbl3l2circ6bbcwnh6lmik564
Automatic Compilation from High-Level Biologically-Oriented Programming Language to Genetic Regulatory Networks
2011
PLoS ONE
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Through several example programs we illustrate the automated process of biological system design with our platform, and show that our compiler optimizations can yield significant reductions in the number ...
Recent advances in DNA synthesis and automated DNA assembly technologies suggest that it is now possible to construct synthetic systems of significant complexity. ...
Because aTc has a sigmoidal interaction with TetR, we can set V in and V out levels for aTc just as we would for a regulatory protein. ...
doi:10.1371/journal.pone.0022490
pmid:21850228
pmcid:PMC3151252
fatcat:s7kodv2l3rcbnbijjqfjqiagwi
A temporally coherent neural algorithm for artistic style transfer
2016
2016 23rd International Conference on Pattern Recognition (ICPR)
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Structured Edge Detector A new fast edge detection algorithm, p. 56. ...
Finally, I would like to acknowledge NVIDIA for donating the GPUs utilized in making this research possible. iv Abstract A Temporally Coherent Neural Algorithm for Artistic Style Transfer Michael Dushkoff ...
Many software packages utilize interactive rotoscoping instead, which track edges through time (often via splines), allowing the animator to retain control over lines, edges, and their respective transformations ...
doi:10.1109/icpr.2016.7900142
dblp:conf/icpr/DushkoffMP16
fatcat:tki3zo4l3fgado5uny4saexabe
Synthesis-guided depth super resolution
2014
2014 IEEE Visual Communications and Image Processing Conference
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Acknowledgements For high guidance, support, and patience in this work I would like to than my super- ...
When we observe a jagged line in an image we may recognize it as the representation of a diagonal or as a circle. ...
. are not well preserved in the diffusion of data by application of equation 3.55. ...
doi:10.1109/vcip.2014.7051520
dblp:conf/vcip/LvZLWXD14
fatcat:4h65q7rzajbcdnmhh7dvpdj5pu
Network Representation
[chapter]
2020
Representation Learning for Natural Language Processing
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Network representation learning aims to embed the vertexes in a network into low-dimensional dense representations, in which similar vertices in the network should have "close" representations (usually ...
In this chapter, we will introduce network representation learning algorithms in the past decade. Then we will talk about their extensions when applied to various real-world networks. ...
It also adds self-loop to every node because each node needs the information from itself in the message propagation process. ...
doi:10.1007/978-981-15-5573-2_8
fatcat:2fljfkgpozhudbgqr7tgv45vxi
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
., TIP 2021 2232-2247 Edge detection A Framework for Hexagonal Image Processing Using Hexagonal Pixel-Per-fect Approximations in Subpixel Resolution. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
From Local to Global: Efficient Dual Attention Mechanism for Single Image Super-Resolution
2021
IEEE Access
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Convolutional neural networks (CNNs) have become a powerful approach for single image super-resolution (SISR). ...
accurate feature fusion and also facilitating structure preservation. ...
INTRODUCTION Single image super-resolution (SISR) aims at restoring a high-resolution (HR) image from its low-resolution (LR) capture, which is an ill-posed inverse process due to multiple possible solutions ...
doi:10.1109/access.2021.3105726
fatcat:6shh2xixmvgwbby4t7hlsf7nxa
Theoretical Foundations of Anisotropic Diffusion in Image Processing
[chapter]
1996
Computing Supplement
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The cover image shows a thresholded nonwoven fabric image which was processed by applying a coherence-enhancing anisotropic diffusion filter (see Section 5.2 for more details). ...
The prerequisites are kept to a minimum and can be found in standard textbooks on image processing [163] , matrix analysis [407] , functional analysis [9, 58, 7], ordinary differential equations [56, 412 ...
In writing this book I have been helped and influenced ...
doi:10.1007/978-3-7091-6586-7_13
dblp:conf/tfcv/Weickert94
fatcat:pu7ukgair5c63fzkkew3rq7tya
Single Underwater Image Restoration Based on Adaptive Transmission Fusion
2020
IEEE Access
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After constructing a simplified image formation model, this paper proposes a new strategy for single underwater image restoration. ...
Experimental results demonstrated the superiority of the proposed algorithm over other competitive methods for underwater image restoration. ...
ACKNOWLEDGMENT The author would like to thank Jun-Qi Li and Pin-Yi Kuan for executing the experiments and collecting experimental data. ...
doi:10.1109/access.2020.2971019
fatcat:pwcmd7g6lbal7fzyxitpfqrjiu
Cathode lens spectromicroscopy: methodology and applications
2014
Beilstein Journal of Nanotechnology
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The implementation of imaging techniques with low-energy electrons at synchrotron laboratories allowed for significant advancement in the field of spectromicroscopy. ...
Here, SPELEEM was employed to monitor the changes in the electronic structure that occur for different film morphologies and during the intercalation of Au. ...
Clearly, the Au layer induces important variations in the graphene-substrate interaction, which in turn affect the charge transfer processes occurring between substrate and film and, consequently, the ...
doi:10.3762/bjnano.5.198
pmid:25383299
pmcid:PMC4222408
fatcat:5hkd5mbpknbarnda5m25snqihu
RA V-Net: Deep learning network for automated liver segmentation
[article]
2021
arXiv
pre-print
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In recent years, automated processing of medical images has gained breakthroughs. ...
In this paper, we propose RA V-Net, which is an improved medical image automatic segmentation model based on U-Net. It has the following three main innovations. ...
Windowing is a processing method for CT maps that aims to highlight key structures in the image, and it is measured in HU values. ...
arXiv:2112.08232v2
fatcat:vq4o7jmdw5heteo5cdk4ijd4ce
Mapping-Based Image Diffusion
2016
Journal of Mathematical Imaging and Vision
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In this work, we introduce a novel tensorbased functional for targeted image enhancement and denoising. ...
We show that our framework excels in applications where nonlinear functions are present such as in gamma correction and targeted value range filtering. ...
cameras (EMC 2 ) and Visualization adaptive Iterative Denoising of Images (VIDI), all within the Linnaeus environment CADICS and the excellence network ELLIIT. ...
doi:10.1007/s10851-016-0672-6
fatcat:degukpifcjgbdipl3jjftxoea4
Learning a self-supervised tone mapping operator via feature contrast masking loss
[article]
2021
arXiv
pre-print
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In this work we propose a learning-based self-supervised tone mapping operator that is trained at test time specifically for each HDR image and does not need any data labeling. ...
The key novelty of our approach is a carefully designed loss function built upon fundamental knowledge on contrast perception that allows for directly comparing the content in the HDR and tone mapped images ...
] , as well as their interactions. ...
arXiv:2110.09866v1
fatcat:64ziujrk6nbz7lhxwz2xwcup2i
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