Comparing methods of interpolation for scattered volumetric data
State of the art in computer graphics
An analysis of 1-D smoothed particle hydrodynamics kernels
Journal of Computational Physics
Multistep scattered data interpolation using compactly supported radial basis functions
Journal of Computational and Applied Mathematics - Special issue on scattered data
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
A simplified approach to enhance the performance of smooth particle hydrodynamics methods
Applied Mathematics and Computation
A two-dimensional interpolation function for irregularly-spaced data
ACM '68 Proceedings of the 1968 23rd ACM national conference
Constructing smoothing functions in smoothed particle hydrodynamics with applications
Journal of Computational and Applied Mathematics
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)
Geometric Data Structures for Computer Graphics
Geometric Data Structures for Computer Graphics
Image compression by linear splines over adaptive triangulations
Signal Processing
Corrective meshless particle formulations for time domain Maxwell's equations
Journal of Computational and Applied Mathematics
Image Compression with Anisotropic Diffusion
Journal of Mathematical Imaging and Vision
Restoring particle consistency in smoothed particle hydrodynamics
Applied Numerical Mathematics
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
IEEE Transactions on Image Processing
Optimising spatial and tonal data for homogeneous diffusion inpainting
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
A numerical meshless particle method in solving the magnetoencephalography forward problem
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Hi-index | 0.00 |
Many image processing techniques work with scattered data distribution usually employing grid based methods leading to numerical problems. To address this issue, a numerical method avoiding mesh generation can be used. Such a method performs an integral representation by means of a smoothing kernel function and, in the discrete formulation, involves domain particles.In this paper the meshless Smoothed Particle Hydrodynamics method is proposed in the Image Reconstruction context and a new computational strategy called Smoothed Particle Image Reconstruction is presented; the new method is based on a scatter approach and several innovative ideas are introduced in order to improve the computational efficiency and numerical accuracy. Tests are carried out validating the effectiveness of the approach.