A novel algorithm for color constancy
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
A spatial post-processing algorithm for images of night scenes
Journal of Graphics Tools
A Theory of Selection for Gamut Mapping Color Constancy
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Example-based color stylization based on categorical perception
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
An improved color mood blending between images via fuzzy relationship
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
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Color is very important in setting the mood of images and video sequences. For this reason, color transformation is one of the most important features in photo-editing or video post-production tools because even slight modifications of colors in an image can strongly increase its visual appeal. However, conventional color editing tools require user's manual operation for detailed color manipulation. Such manual operation becomes burden especially when editing video frame sequences. To avoid this problem, we previously suggested a method [Chang et al. 2004] 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. The main extension is the following 5 points: applicable to images taken under a variety of light conditions; speeding up the color naming step; improving the mapping between source and reference colors when there is a disparity in size of the chromatic categories; separate handling of achromatic categories from chromatic categories; and extending the algorithm along the temporal axis to allow video processing. We present a variety of results, arguing that these images and videos convey a different, but coherent mood.