Coupling of human visual system model and wavelet transform for image compression

In this work we study a combination between wavelet transform and a model of the human visual system both from the mathematical and the computational point of view. We will combine the two procedures in such a way that the computational complexity of the whole procedure is reduced for the maximum possible amount. The gaol is to improve the quality compression, by modelling the human visual system in the compression-decompression tasks. As a result, new filters for image compression are provided for any given multiresolution analysis, independently of the coding method adopted. The proposed algorithm has been applied to grey level images and compared to more traditional approaches which do not comprehend a modelization of the human visual system.