Image-based surface modeling: a multi-resolution approach
Signal Processing
A fast regularization parameter selection for regularly sampled 2D inputs
International Journal of Systems Science
Fast computation of RBF coefficients using FFT
Signal Processing - Special section: Distributed source coding
Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Semantic analysis of real-world images using support vector machine
Expert Systems with Applications: An International Journal
Fuzzy-adapted linear interpolation algorithm for image zooming
Signal Processing
Locally edge-adapted distance for image interpolation based on genetic fuzzy system
Expert Systems with Applications: An International Journal
Two-stage interpolation algorithm based on fuzzy logics and edges features for image zooming
EURASIP Journal on Advances in Signal Processing
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Investigates the application of a radial basis function network (RBFN) to hierarchical image coding for progressive transmission. The RBFN is then used to generate an interpolated image from the subsampled version. An efficient method of computing the network parameters is developed for reduction in computational and memory requirements. The coding method does not suffer from problems of blocking effect and can produce the coarsest image quickly. Quantization error effects introduced at one stage are considered in decoding images at the following stages, thus allowing lossless progressive transmission