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
Image Sequence Analysis via Partial Differential Equations
Journal of Mathematical Imaging and Vision
Speckle-Constrained Filtering of Ultrasound Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A New Total Variation Method for Multiplicative Noise Removal
SIAM Journal on Imaging Sciences
IEEE Transactions on Image Processing
Histogram-based optical flow for functional imaging in echocardiography
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Fast reduction of speckle noise in real ultrasound images
Signal Processing
Histogram-Based Optical Flow for Motion Estimation in Ultrasound Imaging
Journal of Mathematical Imaging and Vision
An effective dual method for multiplicative noise removal
Journal of Visual Communication and Image Representation
Despeckling low SNR, low contrast ultrasound images via anisotropic level set diffusion
Multidimensional Systems and Signal Processing
A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models
Journal of Mathematical Imaging and Vision
Hi-index | 0.00 |
In this paper we study a variational model to deal with the speckle noise in ultrasound images. We prove the existence and uniqueness of the minimizer for the variational problem, and derive the existence and uniqueness of weak solutions for the associated evolution equation. Furthermore, we show that the solution of the evolution equation converges weakly in BV and strongly in L 2 to the minimizer as t驴驴. Finally, some numerical results illustrate the effectiveness of the proposed model for multiplicative noise removal.