Title :
Application of visual modelling in image restoration and colour image processing
Author :
Qureshi, Aziz G. ; Ogunbona, Philup
Author_Institution :
Inst. of Telecommun. Res., South Australia Univ., Adelaide, SA, Australia
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 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.
Keywords :
image restoration; Frei´s colour vision model; Kalman filter; MacAdam´s uniform chromaticity space; chromaticity differences; colour image processing; colour image quantisation; dynamical image model; frequency response; human visual models; image compression; image restoration; visually uniform colour representation space; visually weighted Kalman filtering; Color; Filtering; Frequency response; Humans; Image coding; Image processing; Image restoration; Kalman filters; Quantization; Testing;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.647248
