• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.2
• /
• pp.19-25
• /
• 2018

A scientific and systematic approach for digitally representing colours is essential for improving image quality. Therefore, there is a need for objectively analysing such approaches. Studies regarding display systems, which can reflect human visual characteristics in the digital media environment, and associated international standards at the forefront, have already caused significant impact. Colour is one of the most important factors employed for evaluating the overall image quality of displays. The proposed study focusses on colour properties which are based on the characteristics of the human peripheral vision area, with the primary objective of reproducing digital colours which can simulate human visual characteristics in the digital media environment. The proposed study aims at identifying digital colour characteristics which can vary according to the level of background lightness and the size of colour stimuli. Based on the evaluation results obtained through psychophysical experiments, a method has been proposed for determining peripheral vision characteristics which vary according to the increasing size of a colour stimulus, thereby digitally reproducing them on displays.

• Journal of Korean Society of Forest Science
• /
• v.95 no.6
• /
• pp.768-777
• /
• 2006

The purpose of this study lies in formulating the landscape preference model using a conditional logit that involves the effect of visual elements as well as landscape itself on landscape preferences. To measure landscape preferences, a photo-questionnaire composed of paired photographs of the Cairngorms National Park of Scotland and the Jirisan National Park of Korea was distributed to visitors to the Jirisan National Park of Korea. Visual elements of landscape quantitatively measured by photogrammetry were reduced to orthogonal principal components that were subsequently used as explanatory variables in a conditional logit. As a result, the mixed conditional logit including the effect of landscape itself satisfied the Independence of Irrelevant Alternatives (IIA) property and showed reliable goodness of fit (${\rho}^2=0.25$). It was concluded that the mixed conditional logit including the effect of landscape itself was appropriate for landscape preference model rather than usual conditional logit excluding the effect.