Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
Efficiently using graphics hardware in volume rendering applications
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Accelerating 3D convolution using graphics hardware (case study)
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
SIAM Review
Anisotropic Diffusion in Vector Field Visualization on Euclidean Domains and Surfaces
IEEE Transactions on Visualization and Computer Graphics
Accelerating Volume Reconstruction With 3D Texture Hardware
Accelerating Volume Reconstruction With 3D Texture Hardware
DIRECT VOLUME RENDERING VIA 3D TEXTURES
DIRECT VOLUME RENDERING VIA 3D TEXTURES
Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A multigrid solver for boundary value problems using programmable graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Linear algebra operators for GPU implementation of numerical algorithms
ACM SIGGRAPH 2003 Papers
Sparse matrix solvers on the GPU: conjugate gradients and multigrid
ACM SIGGRAPH 2003 Papers
Nonlinear optimization framework for image-based modeling on programmable graphics hardware
ACM SIGGRAPH 2003 Papers
Interactive time-dependent tone mapping using programmable graphics hardware
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
A Graphics Hardware-Based Vortex Detection and Visualization System
VIS '04 Proceedings of the conference on Visualization '04
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Sparse matrix solvers on the GPU: conjugate gradients and multigrid
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Interactive time-dependent tone mapping using programmable graphics hardware
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
A multigrid solver for boundary value problems using programmable graphics hardware
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Nonlinear optimization framework for image-based modeling on programmable graphics hardware
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Linear algebra operators for GPU implementation of numerical algorithms
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Embedded real-time architecture for level-set-based active contours
EURASIP Journal on Applied Signal Processing
Stochastic DT-MRI Connectivity Mapping on the GPU
IEEE Transactions on Visualization and Computer Graphics
Large calculation of the flow over a hypersonic vehicle using a GPU
Journal of Computational Physics
True 4D image denoising on the GPU
Journal of Biomedical Imaging - Special issue on Parallel Computation in Medical Imaging Applications
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Multiscale methods have proved to be successful tools in image denoising, edge enhancement and shape recovery. They are based on the numerical solution of a nonlinear diffusion problem where a noisy or damaged image which has to be smoothed or restorated is considered as initial data. Here a novel approach is presented which will soon be capable to ensure real time performance of these methods. It is based on an implementation of a corresponding finite element scheme in texture hardware of modern graphics engines. The method regards vectors as textures and represents linear algebra operations as texture processing operations. Thus, the resulting performance can profit from the superior bandwidth and the build in parallelism of the graphics hardware. Here the concept of this approach is introduced and perspectives are outlined picking up the basic Perona Malik model on 2D images.