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Exemplar-based colorization in RGB color space
- Source :
- ICIP, Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1-5
- Publication Year :
- 2014
- Publisher :
- IEEE, 2014.
-
Abstract
- International audience; This paper deals with the problem of image colorization. A model including total variation regularization is proposed. Our approach colorizes directly the three RGB channels, while most existing methods were only focusing on the two chrominance channels. By using the three channels, our approach is able to better preserve color consistency. Our model is non convex, but we propose an efficient primal-dual like algorithm to compute a local minimizer. Numerical examples illustrate the good behavior of our algorithm with respect to state-of-the-art methods.
- Subjects :
- business.industry
variational methods
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Regular polygon
020207 software engineering
02 engineering and technology
Total variation denoising
Color space
patches
RGB color space
Color consistency
total variation
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]
Image colorization
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
0202 electrical engineering, electronic engineering, information engineering
Chrominance
Colorization
RGB color model
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
optimization
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2014 IEEE International Conference on Image Processing (ICIP)
- Accession number :
- edsair.doi.dedup.....5649c6106123c1e64740489faf580da3
- Full Text :
- https://doi.org/10.1109/icip.2014.7025125