Continuous normalized convolution
Proceedings. IEEE International Conference on Multimedia and Expo - Tập 1 - Trang 725-728 vol.1
Tóm tắt
The problem of signal estimation for sparsely and irregularly sampled signals is dealt with using continuous normalized convolution. Image values on real-valued positions are estimated using integration of signals and certainties over a neighbourhood employing a local model of both the signal and the used discrete filters. The result of the approach is that an output sample close to signals with high certainty is interpolated using a small neighbourhood. An output sample close to signals with low certainty is spatially predicted from signals in a large neighbourhood.
Từ khóa
#Convolution #Sampling methods #Computer numerical control #Least squares methods #Interpolation #Biomedical informatics #Biomedical engineering #Estimation #Filters #WritingTài liệu tham khảo
westin, 1994, A tensor framework for multidimensional signal processing
andersson, 2002, Quality and Motion Estimation for Image Sequence Coding
knutsson, 1993, Normalized and differential convolution: Methods for interpolation and filtering of incomplete and uncertain data, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 515, 10.1109/CVPR.1993.341081
10.2113/gsecongeo.58.8.1246
andersson, 2002, Backward-forward motion compensated prediction, Advanced Concepts for Intelligent Vision Systems (ACIVS'02)
10.1109/CVPR.1988.196228
farneback, 1999, Spatial Domain Methods for Orientation and Velocity Estimation