Image Downscaling Based on Neugebauer Model

Abstract

We propose a method for image downscaling based on Neugebauer model, which expresses an arbitrary color as a weighted combination of primary colors called the Neugebauer primaries, which are the vertex colors in RGB color cube. The primary colors are highly saturated and can produce higher contrast image contents than the other colors inside the color cube. We define a similarity measure for evaluating the closeness between an arbitrary color and the Neugebauer primaries, and utilize it as a weight value for the weighted averaging pixel fusion. Experimental results show that the proposed method can produce downscaled images having the similar colors to the Neugebauer primaries.