Incorporating Psychophysical Models in Image Synthesis

g transmission bandwidth without significantly reducing image quality, or to improving the quality of signals compatible with the current NTSC standard. These bandwidth reduction and image improvement techniques are not directly applicable to the image synthesis problem, partially because some of them are concerned with overcoming the weaknesses of the NTSC encoding system, but primarily because they assume as input a high quality image sequence at a given spatial and temporal resolution which is then processed to remove relatively imperceptible information. This is true of image compression techniques in general, not just those of interest in the broadcast television industry. In image synthesis however, one wants to predict what will eventually be imperceptible and then avoid computing it. Consequently techniques which work quite well for reducing transmission bandwidth or image storage size may be completely useless for reducing computation in image synthesis. While image compressi