Publications
◇ M. Jung, X. Bresson, T. F. Chan, L.A. Vese, "Nonlocal Mumford-Shah Regularizers for Color Image Restoration", IEEE Transactions on Image Processing (TIP), 20(6): 1583-1598, 2011. (PDF)
◇ M. Jung, E. Resmerita, L.A. Vese, "Dual Norm Based Iterative Methods for Image Restoration", Journal of Mathematical Imaging and Vision (JMIV), 44(2): 128-149, 2012. (PDF)
◇ M. Jung, G. Peyre, and L.D. Cohen, "Nonlocal Active Contours", SIAM Journal on Imaging Sciences (SIIMS), 5(3): 1022-1054, 2012. (PDF)
◇ M. Jung, A. Marquina, L.A. Vese, "Variational Multiframe Restoration of Images Degraded by Noisy (Stochastic) Blur Kernels ", Journal of Computational and Applied Mathematics (JCAM), 240:123-134, 2013. (PDF)
◇ M. Jung*, M. Kang, M. Kang, "Variational Image Segmentation models involving Non-smooth Data-Fidelity terms", Journal of Scientific Computing (JSC), 59(2): 277-308, 2014. (PDF)
◇ M. Jung*, M. Kang, "Efficient Nonsmooth Nonconvex Optimization for Image Restoration and Segmentation", Journal of Scientific Computing (JSC), 62(2): 336-370, 2015. (PDF)
◇ M. Jung*, M. Kang, "Simultaneous Cartoon and Texture Image Restoration with Higher-order Regularization", SIAM Journal on Imaging Sciences (SIIMS), 8(1):721-756, 2015. (PDF)
◇ M. Kang, M. Kang, M. Jung*, "Inexact accelerated augmented Lagrangian methods", Computational Optimization and Applications (COAP), 62(2): 373-404, 2015. (PDF)
◇ M. Kang, M. Kang, M. Jung*, "Nonconvex Higher-Order Regularization based Rician Noise Removal with Spatially Adaptive Parameters", Journal of Visual Communication and Image Representation (JVCIR), 32: 180-193, 2015. (PDF)
◇ M. Jung*, M. Kang, "Variational Image Colorization Models using Higher-Order Mumford-Shah Regularizers", Journal of Scientific Computing (JSC), 68(2): 864-888, 2016. (PDF)
◇ M. Jung*, "Piecewise-Smooth Image Segmentation Models with L1 Data-Fidelity Terms", Journal of Scientific Computing (JSC), 70(3): 1229-1261, 2017. (PDF)
◇ M. Kang, M. Kang, M. Jung*, "Total Generalized Variation Based Denoising Models for Ultrasound Images", Journal of Scientific Computing (JSC), 72(1): 172-197, 2017. (PDF)
◇ H. Na, M. Kang, M. Jung, M. Kang, "An exp model with spatially adaptive regularization parameters for multiplicative noise removal", Journal of Scientific Computing (JSC), 75(1): 478-509, 2018. (PDF)
◇ M. Kang, M. Jung, M. Kang, "Higher-order regularization based image restoration with automatic regularization parameter selection", Computers and Mathematics with Applications (CMA), 76(1): 58-80, 2018. (PDF)
◇ M. Kang, M. Jung, M. Kang, "Rician denoising and deblurring using sparse representation prior and nonconvex total variation", Journal of Visual Communication and Image Representation (JVCIR), 54: 80-99, 2018. (PDF)
◇ M. Kang, M. Kang, M. Jung*, "Image Colorization Based on a Generalization of the Low Dimensional Manifold Model", Journal of Scientific Computing (JSC), 77(2): 911-935, 2018. (PDF)
◇ H. Na, M. Kang, M. Jung, M. Kang, "Nonconvex TGV regularization model for multiplicative noise removal with spatially varying parameters", Inverse problems and Imaging (IPI), 13(1): 117-147, 2019. (PDF)
◇ M. Kang, M. Kang, M. Jung*, "Sparse representation based image deblurring model under random-valued impulse noise", Multidimensional Systems and Signal Processing (MSSP), 30(3): 1063-1092, 2019. (PDF)
◇ M. Kang, M. Jung*, "Low-dimensional manifold model for demosaicking from a RGBW color filter array", Signal, Image and Video Processing (SIVP), 14(1): 143-150, 2020. (PDF)
◇ M. Kang, M. Jung*, "A single image dehazing model using total variation and inter-channel correlation", Multidimensional Systems and Signal Processing (MSSP), 31(2): 431-464, 2020. (PDF)
◇ M. Jung*, M. Kang, "Image Restoration under Cauchy Noise with Sparse Representation Prior and Total Generalized Variation", Journal of Computational Mathematics (JCM), 39(1): 81-107, 2021. (PDF)
◇ M. Kang, M. Jung*, "Simultaneous Image Enhancement and Restoration with Non-convex Total Variation", Journal of Scientific Computing (JSC), 87(3): 83, 2021.
◇ M. Jung*, "An l0-norm based color image deblurring model under mixed random-valued impulse and Gaussian noise", Applied Mathematical Modelling (AMM), 102: 847-866, 2022.
◇ M. Jung*, "A variational image denoising model under mixed Cauchy ad Gaussian noise", AIMS Mathematics, 7(11): 19696-19726, 2022.
◇ M. Jung*, "Saturation-value total variation based color image denoising under mixed multiplicative and Gaussian noise", Journal of the Korean Society for Industrial and Applied Mathematics (JKSIAM), 26(3): 156-184, 2022.
◇ M. Jung*, "Saturation-value based higher-order regularization for color image restoration", Multidimensional Systems and Signal Processing (MSSP), https://doi.org/10.1007/s11045-023-00867-x , 2023.
* Corresponding Author
Book Chapter:
◇ L. Bar, T. Chan, G. Chung, M. Jung, N. Kiryati, R. Mohieddine, N. Sochen, L.A. Vese, The Mumford and Shah model and its applications to image segmentation and image restoration, Handbook of Mathematical Methods in Imaging (O. Scherzer, Editor), 1095-1157, Springer 2011.
Conference Papers:
◇ M. Jung, G. Chung, G. Sundaramoorthi, L.A. Vese, A.L. Yuille: Sobolev gradients and joint variational image segmentation, denoising, and deblurring. Computational Imaging VII, Vol. 7246, 2009. (PDF)
◇ M. Jung, L.A. Vese: Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), LNCS 5567: 402-413, Norway, 2009.
◇ M. Jung, X. Bresson, T.F. Chan, L.A. Vese: Color Image Restoration Using Nonlocal Mumford-Shah Regularizers. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), LNCS 5681: 373-387, Bonn, Germany, 2009.
◇ M. Jung, A. Marquina, L.A. Vese: Multiframe image restoration in the presence of noisy blur kernel. IEEE International Conference on Image Processing (ICIP), 1529-1532, Cairo, Egypt, 2009.
◇ M. Jung, E. Resmerita, L.A. Vese: An Iterative Method with General Convex Fidelity Term for Image Restoration. European Conference on Computer Vision (ECCV), LNCS 6311: 185-199, Greece, 2010.
◇ M. Jung, G. Peyré, L.D. Cohen: Non-local Active Contours. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 255-266, Ein Gedi, Israel, 2011.
◇ M. Jung, G. Peyré, L.D. Cohen: Non-local segmentation and inpaiting. IEEE International Conference on Image Processing (ICIP), 3373-3376, Brussels, Belgium, 2011.
◇ M. Jung, G. Peyré, L.D. Cohen: Texture Segmentation via Non-local Non-parametric Active Contours. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 74-88, Saint Petersburg, Russia, 2011.
◇ Y. Hu, M. Jung, A. Oukili, G. Yang, J-C Nunes, J. Fehrenbach, G. Peyré, M. Bedossa, L. Luo, C. Toumoulin, L.D. Cohen: Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging. IEEE International Symposium on Biomedical Imaging (ISBI), 804-807, Barcelona, Spain, 2012.
Technical Reports:
◇ M. Jung, L.A. Vese, Image Restoration via Nonlocal Mumford-Shah Regularizers, UCLA CAM report 09-09, February 2009.