A multiscale image compressor with RBFNN and Discrete Wavelet decomposition

This work presents a new adaptive technique for image compression based on Discrete Wavelet Transform (DWT) and Radial Basis Function Neural Networks (RBFNN). The technique can be employed both for lossless and lossy (higher) compression and has been devised in order to deal effectively with a large variety of images. Proposed solution performs well both in terms of computing time and memory. Its generality, flexibility and efficiency make it attractive for storage and transmission in the field of vision and multimedia systems.