B-spline interpolation for bend intra-oral radiographs
Computers in Biology and Medicine
Edge-and-corner preserving regularization for image interpolation and reconstruction
Image and Vision Computing
Choquet integrals as projection operators for quantified tomographic reconstruction
Fuzzy Sets and Systems
Frequency-domain identification of continuous-time ARMA models from sampled data
Automatica (Journal of IFAC)
Continuous time domain properties of causal cubic splines
Signal Processing
Efficient implementation of image interpolation as an inverse problem
Digital Signal Processing
B-LUT: Fast and low memory B-spline image interpolation
Computer Methods and Programs in Biomedicine
H∞ optimal approximation for causal spline interpolation
Signal Processing
Imprecise expectations for imprecise linear filtering
International Journal of Approximate Reasoning
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Fuzzy projection versus inverse fuzzy transform as sampling/interpolation schemes
Fuzzy Sets and Systems
Image registration accuracy estimation without ground truth using bootstrap
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Multicomponent AM-FM signals analysis based on EMD-B-splines ESA
Signal Processing
Research on Interpolation Methods in Medical Image Processing
Journal of Medical Systems
Steganalysis of LSB matching revisited for consecutive pixels using b-spline functions
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Spline-based gradient filters for high-quality refraction computations in discrete datasets
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Accelerated, high-quality refraction computations for volume graphics
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Evaluating similarity measures for brain image registration
Journal of Visual Communication and Image Representation
Morphological modeling of cardiac signals based on signal decomposition
Computers in Biology and Medicine
Rendering in shift-invariant spaces
Proceedings of Graphics Interface 2013
| Hi-index | 35.69 |
The use of continuous B-spline representations for signal processing applications such as interpolation, differentiation, filtering, noise reduction, and data compressions is considered. The B-spline coefficients are obtained through a linear transformation, which unlike other commonly used transforms is space invariant and can be implemented efficiently by linear filtering. The same property also applies for the indirect B-spline transform as well as for the evaluation of approximating representations using smoothing or least squares splines. The filters associated with these operations are fully characterized by explicitly evaluating their transfer functions for B-splines of any order. Applications to differentiation, filtering, smoothing, and least-squares approximation are examined. The extension of such operators for higher-dimensional signals such as digital images is considered