
Previous Article
Stability estimates in stationary inverse transport
 IPI Home
 This Issue

Next Article
Two dimensional histogram analysis using the Helmholtz principle
Fast dual minimization of the vectorial total variation norm and applications to color image processing
1.  Department of Mathematics, University of California, Los Angeles, CA 900951555, United States, United States 
[1] 
Feishe Chen, Lixin Shen, Yuesheng Xu, Xueying Zeng. The Moreau envelope approach for the L1/TV image denoising model. Inverse Problems & Imaging, 2014, 8 (1) : 5377. doi: 10.3934/ipi.2014.8.53 
[2] 
Weihong Guo, Jing Qin. A geometry guided image denoising scheme. Inverse Problems & Imaging, 2013, 7 (2) : 499521. doi: 10.3934/ipi.2013.7.499 
[3] 
Jingwei Liang, Jia Li, Zuowei Shen, Xiaoqun Zhang. Wavelet frame based color image demosaicing. Inverse Problems & Imaging, 2013, 7 (3) : 777794. doi: 10.3934/ipi.2013.7.777 
[4] 
Wei Zhu, XueCheng Tai, Tony Chan. Augmented Lagrangian method for a mean curvature based image denoising model. Inverse Problems & Imaging, 2013, 7 (4) : 14091432. doi: 10.3934/ipi.2013.7.1409 
[5] 
G. Mastroeni, L. Pellegrini. On the image space analysis for vector variational inequalities. Journal of Industrial & Management Optimization, 2005, 1 (1) : 123132. doi: 10.3934/jimo.2005.1.123 
[6] 
Michael Hintermüller, Monserrat RinconCamacho. An adaptive finite element method in $L^2$TVbased image denoising. Inverse Problems & Imaging, 2014, 8 (3) : 685711. doi: 10.3934/ipi.2014.8.685 
[7] 
Fangfang Dong, Yunmei Chen. A fractionalorder derivative based variational framework for image denoising. Inverse Problems & Imaging, 2016, 10 (1) : 2750. doi: 10.3934/ipi.2016.10.27 
[8] 
Qiang Liu, Zhichang Guo, Chunpeng Wang. Renormalized solutions to a reactiondiffusion system applied to image denoising. Discrete & Continuous Dynamical Systems  B, 2016, 21 (6) : 18391858. doi: 10.3934/dcdsb.2016025 
[9] 
Juan Carlos De los Reyes, CarolaBibiane Schönlieb. Image denoising: Learning the noise model via nonsmooth PDEconstrained optimization. Inverse Problems & Imaging, 2013, 7 (4) : 11831214. doi: 10.3934/ipi.2013.7.1183 
[10] 
Jianhong (Jackie) Shen, Sung Ha Kang. Quantum TV and applications in image processing. Inverse Problems & Imaging, 2007, 1 (3) : 557575. doi: 10.3934/ipi.2007.1.557 
[11] 
Shouhong Yang. Semidefinite programming via image space analysis. Journal of Industrial & Management Optimization, 2016, 12 (4) : 11871197. doi: 10.3934/jimo.2016.12.1187 
[12] 
Jie Huang, Marco Donatelli, Raymond H. Chan. Nonstationary iterated thresholding algorithms for image deblurring. Inverse Problems & Imaging, 2013, 7 (3) : 717736. doi: 10.3934/ipi.2013.7.717 
[13] 
Kenji Nakanishi. Modified wave operators for the Hartree equation with data, image and convergence in the same space . Communications on Pure & Applied Analysis, 2002, 1 (2) : 237252. doi: 10.3934/cpaa.2002.1.237 
[14] 
Zhao Yi, Justin W. L. Wan. An inviscid model for nonrigid image registration. Inverse Problems & Imaging, 2011, 5 (1) : 263284. doi: 10.3934/ipi.2011.5.263 
[15] 
NamYong Lee, Bradley J. Lucier. Preconditioned conjugate gradient method for boundary artifactfree image deblurring. Inverse Problems & Imaging, 2016, 10 (1) : 195225. doi: 10.3934/ipi.2016.10.195 
[16] 
Alina Toma, Bruno Sixou, Françoise Peyrin. Iterative choice of the optimal regularization parameter in TV image restoration. Inverse Problems & Imaging, 2015, 9 (4) : 11711191. doi: 10.3934/ipi.2015.9.1171 
[17] 
Juan C. Moreno, V. B. Surya Prasath, João C. Neves. Color image processing by vectorial total variation with gradient channels coupling. Inverse Problems & Imaging, 2016, 10 (2) : 461497. doi: 10.3934/ipi.2016008 
[18] 
Ruiliang Zhang, Xavier Bresson, Tony F. Chan, XueCheng Tai. Four color theorem and convex relaxation for image segmentation with any number of regions. Inverse Problems & Imaging, 2013, 7 (3) : 10991113. doi: 10.3934/ipi.2013.7.1099 
[19] 
Chengxiang Wang, Li Zeng, Yumeng Guo, Lingli Zhang. Wavelet tight frame and prior imagebased image reconstruction from limitedangle projection data. Inverse Problems & Imaging, 2017, 11 (6) : 917948. doi: 10.3934/ipi.2017043 
[20] 
Lacramioara Grecu, Constantin Popa. Constrained SART algorithm for inverse problems in image reconstruction. Inverse Problems & Imaging, 2013, 7 (1) : 199216. doi: 10.3934/ipi.2013.7.199 
2016 Impact Factor: 1.094
Tools
Metrics
Other articles
by authors
[Back to Top]