Psychovisual lattice vector quantization in subband image coding
Dominique Barba, Albrecht Neudecker · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
In this paper, we present a way of incorporating some important features of the human visual system in the coding of images within the framework of subband decomposition and of lattice vector quantization (VQ). As lattice VQ uses regular distribution of nodes, we use a non-linear pre-normalization of the signals in each subband, taking into account the visibility of impairments in the subbands and particularly the masking effects. Visually optimized subband lattice VQ allows us to encode complex images at bit rates between 0.4 to 0.6 bit/pixel without any visible distortion on a high-quality display.