Miyoun Jung

According to our database1, Miyoun Jung authored at least 29 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Low-dimensional manifold model for demosaicking from a RGBW color filter array.
Signal, Image and Video Processing, 2020

A single image dehazing model using total variation and inter-channel correlation.
Multidimens. Syst. Signal Process., 2020

2019
Sparse representation based image deblurring model under random-valued impulse noise.
Multidimens. Syst. Signal Process., 2019

2018
Rician denoising and deblurring using sparse representation prior and nonconvex total variation.
J. Vis. Commun. Image Represent., 2018

An Exp Model with Spatially Adaptive Regularization Parameters for Multiplicative Noise Removal.
J. Sci. Comput., 2018

Image Colorization Based on a Generalization of the Low Dimensional Manifold Model.
J. Sci. Comput., 2018

Higher-order regularization based image restoration with automatic regularization parameter selection.
Comput. Math. Appl., 2018

2017
Total Generalized Variation Based Denoising Models for Ultrasound Images.
J. Sci. Comput., 2017

Piecewise-Smooth Image Segmentation Models with $$L^1$$ L 1 Data-Fidelity Terms.
J. Sci. Comput., 2017

2016
Variational Image Colorization Models Using Higher-Order Mumford-Shah Regularizers.
J. Sci. Comput., 2016

2015
Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization.
SIAM J. Imaging Sci., 2015

Nonconvex higher-order regularization based Rician noise removal with spatially adaptive parameters.
J. Vis. Commun. Image Represent., 2015

Efficient Nonsmooth Nonconvex Optimization for Image Restoration and Segmentation.
J. Sci. Comput., 2015

Inexact accelerated augmented Lagrangian methods.
Comput. Optim. Appl., 2015

2014
Variational Image Segmentation Models Involving Non-smooth Data-Fidelity Terms.
J. Sci. Comput., 2014

2013
Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels.
J. Comput. Appl. Math., 2013

2012
Nonlocal Active Contours.
SIAM J. Imaging Sci., 2012

Dual Norm Based Iterative Methods for Image Restoration.
J. Math. Imaging Vis., 2012

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Nonlocal Mumford-Shah Regularizers for Color Image Restoration.
IEEE Trans. Image Process., 2011

Non-local Active Contours.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Non-local segmentation and inpaiting.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Texture Segmentation via Non-local Non-parametric Active Contours.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
An Iterative Method with General Convex Fidelity Term for Image Restoration.
Proceedings of the Computer Vision, 2010

2009
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Multiframe image restoration in the presence of noisy blur kernel.
Proceedings of the International Conference on Image Processing, 2009

Color Image Restoration Using Nonlocal Mumford-Shah Regularizers.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Sobolev gradients and joint variational image segmentation, denoising, and deblurring.
Proceedings of the Computational Imaging VII, 2009


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