New reversible saturation, vividness, blackness and whiteness models were developed based on a visual data. The aim of this study is to develop a model that can be applicable to imaging devices and to enhance the images by controlling one of the scales. It was found that the models gave good predictions with the NCS (Natural Colour System) data. The newly developed models are applicable to colour image evaluation and image enhancement.
Yoon Ji Cho, Guihua Cui, Kwanghoon Sohn, "Reversible Colour Appearance Scales for Describing Saturation, Vividness, Blackness, and Whiteness for Image Enhancement" in Proc. IS&T 26th Color and Imaging Conf., 2018, pp 91 - 95, https://doi.org/10.2352/ISSN.2169-2629.2018.26.91