IMAGES WITHIN A HUMAN VISUAL MODEL
Scott E. Budge, Thomas G. Stockham, Douglas M. Chabries, R.W. Christiansen · 1988
A method of vector quantization which uses a color model of the human visual system to improve the quality of encoded im- ages is presented. In this method, the images are first transformed into a perceptual space and then encoded. After reconstruction, the image is transformed back into an intensity represen- tation for viewing. A comparison is made between images en- coded at 1.125 bits per pixel with and without the visual model using both a SNR measure and visual observation. Experimental results indi- cate that there is a sigxiflcant improvement in the perceived quality of the images encoded in the visual model, although the measured distor- tion between the images is slightly better for the intensity encoded images.