Wei Zhu

According to our database, Wei Zhu authored at least 14 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A First-Order Image Restoration Model that Promotes Image Contrast Preservation.

Wei Zhu

J. Sci. Comput., 2021

2020

Image Denoising Using L^p-norm of Mean Curvature of Image Surface.

Wei Zhu

J. Sci. Comput., 2020

2019

Image Segmentation Using the Cahn-Hilliard Equation.

Wenli Yang, Zhongyi Huang, Wei Zhu

J. Sci. Comput., 2019

A first-order image denoising model for staircase reduction.

Wei Zhu

Adv. Comput. Math., 2019

Efficient alternating minimization methods for variational edge-weighted colorization models.

Maryam Yashtini, Sung Ha Kang, Wei Zhu

Adv. Comput. Math., 2019

2015

Simulation of liquid crystal elastomers using Chebyshev spectral method with a new preconditioner.

Wei Zhu

Adv. Comput. Math., 2015

2014

Illusory Shapes via Corner Fusion.

Sung Ha Kang, Wei Zhu, Jackie (Jianhong) Shen

SIAM J. Imaging Sci., 2014

2013

Image Segmentation Using Euler's Elastica as the Regularization.

Wei Zhu, Xue-Cheng Tai, Tony F. Chan

J. Sci. Comput., 2013

A geodesic-active-contour-based variational model for short-axis cardiac MR image segmentation.

Wei Zhu, Sung Ha Kang, George Biros

Int. J. Comput. Math., 2013

2012

Image Denoising Using Mean Curvature of Image Surface.

Wei Zhu, Tony F. Chan

SIAM J. Imaging Sci., 2012

2011

A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method.

Wei Zhu, Xue-Cheng Tai, Tony F. Chan

Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011

2007

A Variational Model for Capturing Illusory Contours Using Curvature.

Wei Zhu, Tony F. Chan

J. Math. Imaging Vis., 2007

2006

Segmentation with Depth: A Level Set Approach.

Wei Zhu, Tony F. Chan, Selim Esedoglu

SIAM J. Sci. Comput., 2006

2005

Level Set Based Shape Prior Segmentation.

Tony F. Chan, Wei Zhu

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005