Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Image quilting for texture synthesis and transfer
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
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Colorization using optimization
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH Asia 2008 papers
Semantic colorization with internet images
Proceedings of the 2011 SIGGRAPH Asia Conference
A colorization based animation broadcast system with traitor tracing capability
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Computer Graphics Forum
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Image colorization using similar images
Proceedings of the 20th ACM international conference on Multimedia
Affective image adjustment with a single word
The Visual Computer: International Journal of Computer Graphics
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Colorization is a computer-assisted process for adding colors to grayscale images or movies. It can be viewed as a process for assigning a three-dimensional color vector (YUV or RGB) to each pixel of a grayscale image. In previous works, with some color hints the resultant chrominance value varies linearly with that of the luminance. However, it is easy to find that existing methods may introduce obvious color bleeding, especially, around region boundaries. It then needs extra human-assistance to fix these artifacts, which limits its practicability. Facing such a challenging issue, we introduce a general and fast colorization methodology with the aid of an adaptive edge detection scheme. By extracting reliable edge information, the proposed approach may prevent the colorization process from bleeding over object boundaries. Next, integration of the proposed fast colorization scheme to a scribble-based colorization system, a modified color transferring system and a novel chrominance coding approach are investigated. In our experiments, each system exhibits obvious improvement as compared to those corresponding previous works.