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Measurement-Adaptive Sparse Image Sampling and Recovery
[article]
2017
arXiv
pre-print
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By leveraging texture in space, sparsity locations in DCT domain, and directional decomposition of gradients, the sampler structure consists of a combination of uniform, random, and nonuniform sampling ...
This paper presents an adaptive and intelligent sparse model for digital image sampling and recovery. ...
ACKNOWLEDGEMENTS This Postdoc research was jointly sponsored by Iran National Science Foundation (INSF) and ACRI of Sharif University of Technology under agreement numbers 95/SAD/47585 and 7000/6642, respectively ...
arXiv:1706.03129v2
fatcat:phadi4sxtjh4bn244h6625pex4
Structured Compressed Sensing: From Theory to Applications
2011
IEEE Transactions on Signal Processing
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Previous review articles in CS limit their scope to standard discrete-to-discrete measurement architectures using matrices of randomized nature and signal models based on standard sparsity. ...
The standard sparsity prior has to be extended to include a much richer class of signals and to encode broader data models, including continuous-time signals. ...
Xie, and the anonymous reviewers for offering many helpful comments on an early draft of the manuscript, and to P. L. Dragotti ...
doi:10.1109/tsp.2011.2161982
fatcat:mlbtksjmqvbmfmi6gpxwtunbti
Wavelet restoration of medical pulse-echo ultrasound images in an EM framework
2007
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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tissue echogenicity does behave somewhat like a natural image and varies piecewise-smoothly, on a microscopic scale, the tissue reflectivity exhibits a pseudo-random texture (manifested in the amplitude ...
by iteratively alternating between Wiener filtering (to solve for the tissue reflectivity) and wavelet-based denoising (to solve for the echogenicity map). ...
Acknowledgments James Ng is funded by an External Research Studentship from Trinity College, Cambridge, and an LB Wood Travelling Scholarship. ...
doi:10.1109/tuffc.2007.278
fatcat:5qh6r2olmrabblw2yb35swhmmu
Basic research on machinery fault diagnostics: Past, present, and future trends
2017
Frontiers of Mechanical Engineering
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On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in ...
Machinery fault diagnosis has progressed over the past decades with the evolution of machineries in terms of complexity and scale. ...
, and reproduction in any medium, provided the appropriate credit is given to the original author(s) and the source, and a link is provided to the Creative Commons license, indicating if changes were made ...
doi:10.1007/s11465-018-0472-3
fatcat:xngm4jcct5berhuf33rqoxfc6i
2021 Index IEEE Transactions on Signal Processing Vol. 69
2021
IEEE Transactions on Signal Processing
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TSP 2021 1627-1641 Temporal Parallelization of Inference in Hidden Markov Models. Hassan, S., +, TSP 2021 4875-4887 The Restless Hidden Markov Bandit With Linear Rewards and Side Infor-mation. ...
doi:10.1109/tsp.2022.3162899
fatcat:kcubj566gzb4zkj7xb5r5we3ri
Vision of the unseen
2011
ACM Computing Surveys
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Shi et al. [2007] propose a natural image model to separate spliced images from natural images. ...
Image and Video Hidden Content Detection/Recovery Steganography is the art of secret communication. ...
doi:10.1145/1978802.1978805
fatcat:fdd6lebl5zcvlk46ose57uuyja
A Comprehensive lossless modified compression in medical application on DICOM CT images
2013
IOSR Journal of Computer Engineering
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On basis of based on discrete wavelet transform we present a new DICOM based lossless image compression method. ...
RELATED WORK Ramakrishnan et al. (2006) proposed a methodology for compression of DICOM images based on wavelets and splint for telemedicine applications. ...
Future work aims at experimental evaluation and comparative study of our algorithm with results of existing web content mining algorithms.
References Journals [1]. ...
doi:10.9790/0661-1530107
fatcat:eoyyyi7vmbculctnfqnohxyhue
Pattern recognition: Historical perspective and future directions
2000
International journal of imaging systems and technology (Print)
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using "natural" bases, and the use of mixtures of experts in classification. ...
The sections of this paper deal with the categorization and functional approximation problems; the four components of a pattern recognition system; and trends in predictive learning, feature selection ...
As an example, encoding natural scenes has been shown to take advantage of intrinsic image statistics and to seek the derivation of a natural (universal) basis (Hancock et al., 1992; Olshausen and Field ...
doi:10.1002/1098-1098(2000)11:2<101::aid-ima1>3.0.co;2-j
fatcat:7avx2v64l5h6leyn5pdgg6s4ey
On Fitting Finite Dirichlet Mixture Using ECM and MML
[chapter]
2005
Lecture Notes in Computer Science
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Fluid queue models play a vital role in the performance analysis of computer and telecommunication networks. ...
Some of the known results are deduced from the results obtained. Numerical results are illustrated for the models under consideration. 2 Pair-copula constructions of multiple dependence. ...
, image animation, and image compression. ...
doi:10.1007/11551188_19
fatcat:gtzi5u6emvfyxea3zbklobnvom
Distributed Source Coding
[chapter]
2010
Handbook on Array Processing and Sensor Networks
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Two source models were exhibited, namely non-uniform sources and hidden Markov sources. ...
More precisely, the GE source modeling is 2.7 times better for the coding of the sequence Hall Monitor, 1.49
Markov chain modeling: particular case of Hidden Markov modeling The Markov source model ...
Appendix A Row echelon form of a binary matrix for efficient non-asymmetric syndrome-based SW coding This chapter formally describes the theory behind the search for a subset of linearly independent columns ...
doi:10.1002/9780470487068.ch19
fatcat:7fxpto3yy5bczjynnavfqp5s5y
Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future
2020
Applied Sciences
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Finally, the general structure of a high-dimensional medical imaging analysis platform that is based on multi-task detection and learning is proposed as a way forward. ...
The proposed data fusion approaches provide a novel Artificial Intelligence (AI) based framework for more robust image registration that can potentially advance the early identification of heterogeneous ...
[43] employed Markov random field and local binary pattern (LBP) to extract texture features of left and right breasts, respectively, then the authors applied the hidden Markov random field algorithms ...
doi:10.3390/app10207201
fatcat:tofpvyllzbautos4my26xajqfe
Applications of artificial intelligence in nuclear medicine image generation
2021
Quantitative Imaging in Medicine and Surgery
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It can also be used for image generation to shorten the time of image acquisition, reduce the dose of injected tracer, and enhance image quality. ...
This work provides an overview of the application of AI in image generation for single-photon emission computed tomography (SPECT) and positron emission tomography (PET) either without or with anatomical ...
The CED model was shown to be effective in image detail recovery. ...
doi:10.21037/qims-20-1078
pmid:34079744
pmcid:PMC8107336
fatcat:36vdnuatljbmzayjw3azmrtdee
Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey
2022
EURASIP Journal on Wireless Communications and Networking
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These techniques are model-based and designed with accurate mathematical channel models encompassing their features. ...
Consequently, the receiver must estimate the channel features and compensate it for data recovery based on channel estimation techniques, such as non-blind, blind, and semi-blind approaches. ...
Acknowledgements The authors would like to thank the National Institute of Telecommunications for the resources to support this work. ...
doi:10.1186/s13638-022-02195-3
fatcat:tahwfxvltjbnhf4334z7lkqqtu
Toward virtual biopsy through an all fiber optic ultrasonic miniaturized transducer: a proposal
2003
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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Page 49 ............Compressed sensing ............Nonuniform sampling ........Statistical analysis ............Analysis of variance ............Mode matching methods ............Monte Carlo methods .. ...
........Green's function methods ........Hidden Markov models ........Input variables This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License ...
doi:10.1109/tuffc.2003.1244749
fatcat:l3jre4etsvcqzfyz2jqggji3gy
Engineering, Technology & Applied Science Research (ETASR), Vol. 12, No. 2, pp. 8228-8481
2022
Zenodo
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), and has been awarded a DOAJ seal. ...
of science application, technology, and engineering. ...
Therefore, the authors gratefully acknowledge the technical and financial support from the Ministry of Education and the King Abdulaziz University, DSR, Jeddah, Saudi Arabia. ...
doi:10.5281/zenodo.6509470
fatcat:nn7pi5ec35gzplz6ewln2lbbrm
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