Title :
Example-Based Color Transformation of Image and Video Using Basic Color Categories
Author :
Chang, Youngha ; Saito, Suguru ; Nakajima, Masayuki
Author_Institution :
Dept. of Comput. Sci., Tokyo Inst. of Technol.
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
Keywords :
image colour analysis; image sequences; video signal processing; color categories; example-based color stylization; example-based color transformation; resultant image; video frame sequences; Books; Color; Computer science; Filters; Helium; Image converters; Manuals; Mood; Pixel; Robustness; Basic color category; categorical perception; color stylization; color transfer; example based; video processing; Algorithms; Color; Colorimetry; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; User-Computer Interface; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2006.888347