Application of visual modelling in image restoration and colour image processing

摘要

This paper describes the application of human visual models in (i) defining a visually uniform colour representation space and (ii) the formulation of visually weighted Kalman filtering for image restoration. The former being useful in colour image quantisation and compression. For (i), the uniformity of chromaticity differences at the output of Frei's (1976) colour vision model is tested and compensated for by using MacAdam's uniform chromaticity space. For (ii), the dynamical image model of the Kalman filter is visually weighted using the frequency response of Stockham's (1972) model of human vision.