A PERCEPTUAL ERROR MEASURE FOR SAMPLED AND INTERPOLATED COMPLEX COLORIMAGES

Error measures are needed for optimizing display parameters. Most of t he existing error measures are inappropriate since they correlate poor ly with the perceived impairment of the reproduced images. The reason is that these measures, often distance measures, do not or do not suff iciently incorporate properties of the human visual system. We therefo re present a perceptual error measure that uses the distance in a perc eptual space spanned by the sampling and interpolation artifacts perio dic structure and blur, to predict the impairment of sampled and inter polated images. It is shown how the sensorial strengths of periodic st ructure and blur that are along the axes of this perceptual space can be determined from the image. In addition, we demonstrate that after t he perceptual error measure is calibrated to a particular observer, it can predict experimentally determined subjective image quality of sam pled and interpolated colour images, and may thereby be used to optimi ze display parameters.