An Adaptive Image Interpolation Using the Quadratic Spline Interpolator
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
On the Accuracy of Isosurfaces in Tomographic Volume Visualization
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Eliminating extrapolation using point distribution criteria in scattered data interpolation
Computer Vision and Image Understanding
Efficient Surface Reconstruction using Generalized Coulomb Potentials
IEEE Transactions on Visualization and Computer Graphics
Methods for image authentication: a survey
Multimedia Tools and Applications
Accurate and Efficient Computation of Gabor Features in Real-Time Applications
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
A Stochastic Method for Face Image Super-Resolution
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Blind watermarking via pixel modification with regular rule
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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Pattern Recognition Letters
Research on Interpolation Methods in Medical Image Processing
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Nearest-neighbor, linear, and various cubic interpolation functions are frequently used in image resampling. Quadratic functions have been disregarded largely because they have been thought to introduce phase distortions. This is shown not to be the case, and a family of quadratic functions is derived. The interpolating member of this family has visual quality close to that of the Catmull-Rom cubic, yet requires only 60% of the computation time