Computer graphics (2nd ed.)
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
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
Color transfer in correlated color space
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Automatic Mood-Transferring between Color Images
IEEE Computer Graphics and Applications
Color style transfer techniques using hue, lightness and saturation histogram matching
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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Most color transfer algorithms focus on how to transfer the entire color attributes between images. Rarely, do color transfer algorithms select appropriate colors to transfer on images by analyzing image color discrepancies. This article proposes an Automatic Selective Color Transfer (ASCT) algorithm between images by utilizing the image quality factor measuring skills. The ASCT algorithm enhances Reinhard's algorithm (2001) by applying covariance and weight control as well as incorporates Gaussian membership function, and the digital image quality factor. The ASCT algorithm resolves the over color transfer problem of the previous algorithms. This article uses 4 test models to demonstrate how the algorithm operates. Experimental results show that the ASCT algorithm can automatically transfer a portion of one's image color mood to another image without any user intervention.