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Lagrange wavelets for signal processing

Zhuoer Shi, G.W. Wei, D.J. Kouri, D.K. Hoffman, Zheng Bao
2001 IEEE Transactions on Image Processing  
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

Zhuo Su, Kun Zeng, Li Liu, Bo Li, Xiaonan Luo
2014 IEEE transactions on multimedia  
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

Chi Zhang, Mingjin Zhang, Yunsong Li, Xinbo Gao, Qiu Shi
2021 Remote Sensing  
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

Jacob Beal, Ting Lu, Ron Weiss, Eshel Ben-Jacob
2011 PLoS ONE  
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

Michael Dushkoff, Ryan McLaughlin, Raymond Ptucha
2016 2016 23rd International Conference on Pattern Recognition (ICPR)  
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

Huijin Lv, Yongbing Zhang, Kai Li, Xingzheng Wang, Huiming Xuan, Qionghai Dai
2014 2014 IEEE Visual Communications and Image Processing Conference  
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]

Zhiyuan Liu, Yankai Lin, Maosong Sun
2020 Representation Learning for Natural Language Processing  
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  
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

Pei Zhang, Edmund Y. Lam
2021 IEEE Access  
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]

J. Weickert
1996 Computing Supplement  
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

Herng-Hua Chang
2020 IEEE Access  
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

T O Menteş, G Zamborlini, A Sala, A Locatelli
2014 Beilstein Journal of Nanotechnology  
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]

Zhiqi Lee, Sumin Qi, Chongchong Fan, Ziwei Xie
2021 arXiv   pre-print
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

Freddie Åström, Michael Felsberg, George Baravdish
2016 Journal of Mathematical Imaging and Vision  
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]

Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowski, Ana Serrano
2021 arXiv   pre-print
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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