IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Image Analysis Using Irregular Tessellations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Filtering Using Multiresolution Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Designs for Efficient Multiresolution Edge Detection and Orientation Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Generating Kernels for Image Pyramids by Piecewise Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Prototype Filter Design Approach to Pyramid Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Manipulation Using M-filters in a Pyramidal Computer Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving fitting quality of polygonal approximation by using the dynamic programming technique
Pattern Recognition Letters
A new algorithm for fitting a rectilinear x-monotone curve to a set of points in the plane
Pattern Recognition Letters
Smoothed differentiation filters for images
Journal of Visual Communication and Image Representation
A parts-based multi-scale method for symbol recognition
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
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Construction of image pyramids is described as a two-di-mensional decimation process. Frequently employed generating kernels are compared to the optimal kernel that assures minimal information loss after the resolution reduction, i.e., the one corresponding to an ideal low pass filter. Physically realizable, optimal generating kernels are presented. The amount of computation required for generation of the image pyramid can be reduced significantly by employing half-band filters as components of the optimal kernel. Image pyramids generated by the optimal kernel show a better command of details than the ones generated by a simple 4 脳 4 averaging, or a computationally equivalent kernel.