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

Volume

1

fYear

1997

fDate

4-4 Dec. 1997

Firstpage

17

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/TENCON.1997.647248

Filename

647248