Wavelets and human visual perception in image compression

The paper describes a new adaptive coding technique for still, grey-level images. The algorithm is based on a multi-resolution decomposition on biorthogonal wavelet basis and it includes different nonlinear models of the human visual perception in the compression task. Quantization is adaptive, and it is based on considerations about the contrast experiments which aim at determining in which conditions (contrast of the input image, compression ratio) the inclusion of the models improves the performance. The results are compared with standard techniques which do not include considerations about human visual perception