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Super-Resplution Procedures in Images and Video Sequences Based on Wavelet Atomic Functions
[chapter]
2010
Modelling, Simulation and Identification
Preserved Fulltext
, which use different sensors, like x-ray systems, remote sensing cameras, radars, radiometers, US sensors, CCD, etc. ...
Superresolution (SR) is defined as a reconstruction of a high-resolution (HR) image or frame in the video sequence from one or multiple low-resolution (LR) images/videos, which is relatively inexpensive ...
In the JMAP method, the density of the data or the prior density of the images is connected with the density of its respective hyperparameter. ...
doi:10.5772/10016
fatcat:3badllurhzc3hctebgmzygj4me
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
[article]
2021
arXiv
pre-print
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Unlike traditional iterative schemes, first of all one can develop and explore the utility of a spectrum of HAM methodologies for noniterative interface learning. ...
Data preprocessing, compression and superresolution: Main issues associated with data are noise, missing data, sparse data, and excessively dense data. ...
arXiv:2103.14629v1
fatcat:rwk4ljq4irf6ziam6rc2vw27ra
2-D blind deconvolution by partitioning into coupled 1-D problems using discrete Radon transforms
Proceedings., International Conference on Image Processing
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The shapes to be registered are implicitly modelled with We propose a variational segmentation model based on statistical information of an image. ...
This is joint work with Michael J. O'Hara. Multiphase image segmentation via Modica-Mortola phase transition is essentially a different way from Mumford-Shah model. ...
PP0 Non-Local Approaches to Image and Video Resolution Enhancement We introduce novel "super-resolution" schemes for single images and multi-frame image sequences. ...
doi:10.1109/icip.1995.537409
dblp:conf/icip/AhnY95
fatcat:ecos74jfmfgonkuk5gsq2essp4