1-2hit |
The color appearance model gives us the proper brightness information and optimized display conditions for various viewing surroundings. However on conditions of low-level illumination or low background reflectivity, the performance of brightness estimation is relatively poor. Therefore, through our psychophysical experiments, we investigated the state of visual luminance adaptation for comparing single adaptations and mixed adaptations under a complex viewing field, and we also investigated background adaptation degrees and exponential nonlinearity factors for mixed adaptation models. It provides more accurate brightness predictions according to different adapting luminance, which is decided from object and background luminance.
Sung-Hak LEE In-Ho SONG Kyu-Ik SOHNG
We investigated the effect of viewing conditions on human visual perception of colorfulness and constructed a mathematical model for colorfulness by fitting regression curves to LUTCHI color appearance data. This model enables the simple and effective prediction of the relative appearance attribute of colorfulness as a function of brightness and saturation, taking into account a range of viewing conditions, and hence provides a method of image reproduction for home display systems that can be easily adapted according to indoor viewing conditions.