Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Paint by numbers: abstract image representations
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Painterly rendering for animation
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Processing images and video for an impressionist effect
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Painterly rendering with curved brush strokes of multiple sizes
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Non-Photorealistic Rendering
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Color transformation based on the basic color categories of a painting
ACM SIGGRAPH 2002 conference abstracts and applications
Automated colour grading using colour distribution transfer
Computer Vision and Image Understanding
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
Data-driven image color theme enhancement
ACM SIGGRAPH Asia 2010 papers
Example-based image color and tone style enhancement
ACM SIGGRAPH 2011 papers
Digital restoration of medieval tapestries
VAST'05 Proceedings of the 6th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Technical Section: Automatic color realism enhancement for computer generated images
Computers and Graphics
Image recoloring using linear template mapping
Multimedia Tools and Applications
Corpus-based visual synthesis: an approach for artistic stylization
Proceedings of the ACM Symposium on Applied Perception
A framework for interactive image color editing
The Visual Computer: International Journal of Computer Graphics
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We describe a new computational approach to stylize the colors of an image by using a reference image. During processing, we take the characteristics of human color perception into account to generate more appealing results. Our system starts by classifying each pixel value into one of the basic color categories, derived from our psychophysical experiments. The basic color categories are perceptual categories that are universal to everyone, regardless of nationality or cultural background. These categories are used to provide restrictions on color transformations to avoid generating unnatural results. Our system then renders a new image by transferring colors from a reference image to the input image, based on these categorizations. To avoid artifacts due to the explicit clustering, our system defines fuzzy categorization when pseudocontours appear in the resulting image. We present a variety of results and show that our method performs a large, yet natural, color transformation without any sense of incongruity and that the resulting images automatically capture the characteristics of the colors used in the reference image.