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» Piecewise Polynomial Kernels for Image Interpolation: A Gene...
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69
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ICIP
1999
IEEE
15 years 11 months ago
Piecewise Polynomial Kernels for Image Interpolation: A Generalization of Cubic Convolution
Erik H. W. Meijering, Wiro J. Niessen, Max A. Vier...
81
Voted
WSCG
2004
157views more  WSCG 2004»
14 years 11 months ago
Efficient Implementation of Higher Order Image Interpolation
This work presents a new method of fast cubic and higher order image interpolation. The evaluation of the piecewise n-th order polynomial kernels is accelerated by transforming th...
Roland Perko, Horst Bischof
67
Voted
ICIP
2005
IEEE
15 years 11 months ago
Interpolation by asymmetric, two-dimensional cubic convolution
This paper formulates a two-dimensional, piecewise-cubic interpolator that accounts for non-separable and rotationally asymmetric scene statistics. The resulting kernel has five p...
Jiazheng Shi, Stephen E. Reichenbach
MICCAI
1999
Springer
15 years 1 months ago
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation
Interpolation is required in many medical image processing operations. From sampling theory, it follows that the ideal interpolation kernel is the sinc function, which is of infin...
Erik H. W. Meijering, Wiro J. Niessen, Josien P. W...
SIP
2003
14 years 11 months ago
Polyphase Antialiasing in Enlargements
Changing resolution of images is a common operation. It is also common to use simple, i.e., small interpolation kernels satisfying some ”smoothness” qualities that are determi...
Daniel Seidner