Prediction from off-grid samples using continuous normalized convolution

Authors:
Kenneth Andersson;Carl-Fredrik Westin;Hans Knutsson
Affiliations:
Department of Biomedical Engineering, Linköping University, Linköping, Sweden;Laboratory of Mathematics in Imaging, Harvard Medical School, Brigham and Women's Hospital, Boston, USA;Department of Biomedical Engineering, Linköping University, Linköping, Sweden
Venue:
Signal Processing
Year:
2007

Citing 3
Cited 1

Scattered Data Interpolation with Multilevel B-Splines

IEEE Transactions on Visualization and Computer Graphics
Kriging filters for multidimensional signal processing

Signal Processing - Special section on content-based image and video retrieval
Motion compensated multiresolution transmission of high definition video

IEEE Transactions on Circuits and Systems for Video Technology

Invariant image reconstruction from irregular samples and hexagonal grid splines

Image and Vision Computing

Quantified Score

Hi-index	0.08

Visualization

Abstract

This paper presents a novel method for performing fast estimation of data samples on a desired output grid from samples on an irregularly sampled grid. The output signal is estimated using integration of signals over a neighbourhood employing a local model of the signal using discrete filters. The strength of the method is demonstrated in motion compensation examples by comparing to traditional techniques.