Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Example-based color stylization based on categorical perception
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Colorization using optimization
ACM SIGGRAPH 2004 Papers
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Example-Based Color Stylization of Images
ACM Transactions on Applied Perception (TAP)
Pattern Recognition Based Color Transfer
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
Example-based color transformation for image and video
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
An effective algorithm for image sequence color transfer
Mathematical and Computer Modelling: An International Journal
Fast image and video colorization using chrominance blending
IEEE Transactions on Image Processing
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This paper presents an improved color mood blending between images via fuzzy relationship. We take into consideration the weighted influences of the source as well as the target image. Our algorithm automatically calculates the weights according to the fuzzy relations of images with Gaussian Membership Function, derived from both the statistical features of the source and target image. As the experimental results shown, the visual appearance of the resulting image is more natural and vivid. Our algorithm can offer users another selection for perfecting their work. It has four advantages. First, it is a general approach where previous methods are special cases of our method. Second, it produces a new style and feature. Third, the quality of the resultant image is visually plausible. Finally, it is simple and efficient, with no need to generate swatches.