Abstract: Generally, white balance of a conventional camera is set by linear adjustment of RGB channel gains. However, spectral sensitivity of human visual trireceptor, LMS cone, is nonlinearly changed according to surround chromaticity and luminance level. Therefore, the perceived colors of the image reproduced on a standard display using the output signals of a conventional camera are quite different from the perceived object colors in real photographing place. It is necessary that reproduced colors on a display in standard viewing conditions is perceived as same as the original object colors. In this paper a corresponding color reproduction algorithm based on HVS is proposed. The algorithm transforms the output signals of a conventional camera into the signals to reproduce the same colors as the perceived object colors when human visual system has been adapted chromatically under the various photographing conditions. Experimental results show that the reproduced color using the algorithm is objectively and subjectively better than the conventional method.
[1]
Matthew Anderson,et al.
Proposal for a Standard Default Color Space for the Internet - sRGB
,
1996,
CIC.
[2]
Eun Su Kim.
Corresponding-Color Reproduction Model According to Surround Viewing Conditions
,
2003
.
[3]
William R. Mathew,et al.
Color as a Science
,
2005
.
[4]
Mark D. Fairchild,et al.
Color Appearance Models
,
1997,
Computer Vision, A Reference Guide.