RIS ID
65858
Abstract
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 ouptut of Frei ’s colour vision model [3] 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 model [l] of human vision.
Publication Details
Qureshi, A. & Ogunbona, P. (1997). Application of visual modelling in image restoration and colour image processing. IEEE Region 10 Annual International Conference, Proceedings: Speech and Image Technologies for Computing and Telecommunications (pp. 17-20). IEEE.