Emotion-based color transfer of images using adjustable color combinations

Abstract

This study developed a novel framework for the color transfer between color images, which can further achieve emotion transfer between color images based on the human emotion (human feeling) or a predefined color-emotion model. In the study, we propose a new skill, which makes it possible to adjust the amount of main colors in image according to the complexity of the content of images. It can improve the previous methods which merely take single main color or the fix number of main colors combinations to implement color transfer. Other contributions of the study are the algorithms of the TFS and the TUS, which can improve the identification of the background and foreground and the other main colors that are extracted from the images. The category of images in this study focuses on the color images, such as scenic photographs, still life images, paintings, and wallpaper. The proposed method can also aid those non-professionals to manipulate and describe the connection between colors and emotion in a more objective and precise way. Potential applications include advertising design, cover design, clothing matching on color, interior design, colorization of grayscale images, and re-emotion the photograph of the camera.