Learning moods and emotions from color combinations
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
An automatic selective color transfer algorithm for images
Proceedings of the 2011 ACM Symposium on Applied Computing
Towards automatic concept transfer
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering
Selective color transferring via ellipsoid color mixture map
Journal of Visual Communication and Image Representation
Special Section on CANS: Toward automatic and flexible concept transfer
Computers and Graphics
SPRWeb: preserving subjective responses to website colour schemes through automatic recolouring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A framework for interactive image color editing
The Visual Computer: International Journal of Computer Graphics
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Reinhard and colleagues' ground-breaking work of color transfer between images provides a successful means for mood transferring between color images. However, two issues remain relatively unexplored. First, the approach leaves the choice of an appropriate reference image to users. Second, it's often difficult to evaluate a color transfer's effectiveness, especially when the input and reference images have significantly different content. A new approach, described here, tackles both issues. First, it provides a more intuitive interface, where users can convert the style of an input image with simply a mouse click, without having to find and provide their own reference image. Second, the system offers a more refined mechanism for converting the input image's color using a histogram matching approach that preserves spatial coherence.