Spectral Based Color Correction Technique Compatible with Standard RGB System

A spectral turn method is presented as a spectral based color correction method compatible with the standard RGB system by applying the idea of a multi-spectral method. The multi-spectral based color reproduction technique has been proposed for providing independent color of device and viewing conditions. However, it is difficult to replace the RGB devices with high cost multi-spectral devices since the latter have advanced only to the laboratory level. In the proposed method, the standard RGB values are converted into spectral information, then returned to RGB values for different viewing conditions. This process provides more accurate reproduction than the conventional forward process of the color reproduction. An experiment of psychophysical color matching was performed to evaluate the technique. The mixed chromatic adaptation model was applied to the method in the experiment, and the results showed the effectiveness of the proposed method. In the internet shopping or E-commerce system, the color of the image displayed on the computer monitor is thought to have important influence on a customer's decision of whether or not to purchase the product. However, in the present system, a customer cannot be sure if the color of actual product will be the same as that in the computer display, because appears differently under different viewing conditions. The standard default color space for the internet, sRGB 1-2） , has been widely used in computer operating systems, the internet, and the devices to provide accurate color matching. However, the viewing conditions of the sRGB system is not practical for the E-commerce system, since the sRGB color space is based on the monitor characteristics expected to be observed under illuminant D50. Although the devices used in the E-commerce system can be set to follow the sRGB references, most internet users cannot easily set the ambient illuminants to follow the sRGB reference viewing conditions. A color appearance model can be used to convert from tri-stimulus values to perceptual attributes, and used to achieve independent color of device and viewing conditions. In the E-commerce system, however, the tri-stimulus values under an arbitrary illuminant should be calculated before applying this color appearance model. Multi-spectral imaging systems 3-11) can reproduce highly accurate color under arbitrary illuminants; however, it will be hard to realize these practical systems to replace RGB imaging in the near future. Although multi-spectral imaging systems have developed rapidly in recent years, for example, multi-band cameras 12 and multi-primary displays 13 , …