TY - GEN
T1 - Interpolation by asymmetric, two-dimensional cubic convolution
AU - Shi, Jiazheng
AU - Reichenbach, Stephen E.
PY - 2005
Y1 - 2005
N2 - This paper formulates a two-dimensional, piecewise-cubic interpolator that accounts for non-separable and rotationally asymmetric scene statistics. The resulting kernel has five parameters and is designated 2D-5PCC. As a low-order polynomial with small spatial support, the kernel is easy to implement and efficient to apply. A closed-form solution, developed in this paper, yields the optimal parameter values for scene ensembles characterized by autocorrelation or power spectrum. Experiments indicate that 2D-5PCC yields higher fidelity interpolations than several other popular methods.
AB - This paper formulates a two-dimensional, piecewise-cubic interpolator that accounts for non-separable and rotationally asymmetric scene statistics. The resulting kernel has five parameters and is designated 2D-5PCC. As a low-order polynomial with small spatial support, the kernel is easy to implement and efficient to apply. A closed-form solution, developed in this paper, yields the optimal parameter values for scene ensembles characterized by autocorrelation or power spectrum. Experiments indicate that 2D-5PCC yields higher fidelity interpolations than several other popular methods.
UR - http://www.scopus.com/inward/record.url?scp=33749604830&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749604830&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2005.1530225
DO - 10.1109/ICIP.2005.1530225
M3 - Conference contribution
AN - SCOPUS:33749604830
SN - 0780391349
SN - 9780780391345
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 994
EP - 997
BT - IEEE International Conference on Image Processing 2005, ICIP 2005
T2 - IEEE International Conference on Image Processing 2005, ICIP 2005
Y2 - 11 September 2005 through 14 September 2005
ER -