title: Example-based color transformation of image and video using basic color categories.
abstract: Color transformation is the most effective method to improve the mood of an image, because color has a large influence in forming the mood. However, conventional color transformation tools have a tradeoff between the quality of the resultant image and the amount of manual operation. To achieve a more detailed and natural result with less labor, we previously suggested a method that performs an example-based color stylization of images using perceptual color categories. In this paper, we extend this method to make the algorithm more robust and to stylize the colors of video frame sequences. We present a variety of results, arguing that these images and videos convey a different, but coherent mood.
authors.affiliation: Department of Computer Science, Tokyo Institute of Technology, W8-64, 2-12-1 O-Okayama, Meguroku, Japan. chang@img.cs.titech.ac.jp
authors.forename: Youngha
authors.initials: Y
authors.lastname: Chang
authors.forename: Suguru
authors.initials: S
authors.lastname: Saito
authors.forename: Masayuki
authors.initials: M
authors.lastname: Nakajima
mesh_terms: D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D014741:Video Recording / Q000379:methods*