Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
International Journal of Computer Vision
A Variational Method in Image Recovery
SIAM Journal on Numerical Analysis
Stabilization of vortices in the Ginzburg-Landau equation with a variable diffusion coefficient
SIAM Journal on Mathematical Analysis
International Journal of Computer Vision
Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing
Journal of Scientific Computing
Detecting Codimension--Two Objects in an Image with Ginzburg-Landau Models
International Journal of Computer Vision
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
Color TV: total variation methods for restoration of vector-valued images
IEEE Transactions on Image Processing
The digital TV filter and nonlinear denoising
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Color image enhancement via chromaticity diffusion
IEEE Transactions on Image Processing
A novel variational model for image segmentation
Journal of Computational and Applied Mathematics
Fast two-stage segmentation via non-local active contours in multiscale texture feature space
Pattern Recognition Letters
Hi-index | 0.00 |
In this paper we propose a new variational model for image denoising and segmentation of both gray and color images. This method is inspired by the complex Ginzburg---Landau model and the weighted bounded variation model. Compared with active contour methods, our new algorithm can detect non-closed edges as well as quadruple junctions, and the initialization is completely automatic. The existence of the minimizer for our energy functional is proved. Numerical results show the effectiveness of our proposed model in image denoising and segmentation.