Image interpolation for progressive transmission by using radial basis function networks

This paper investigates the application of a radial basis function network (RBFN) to a hierarchical image coding for progressive transmission, The RBF N is then used to generate an interpolated image from the subsampled versio n. 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 i mage quickly. Quantization error effects introduced at one stage are consid ered in decoding images at the following stages, thus allowing lossless pro gressive transmission.