Color Transfer Using Adaptive Second-Order Total Generalized Variation Regularizer
| Autor: | Chen Xu, Bin Xie, Robert K. F. Teng, Yu Han |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science General Engineering Structure (category theory) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Image segmentation total variation (TV) total generalized variation (TGV) Image (mathematics) Color transfer staircase effect Colors of noise 0202 electrical engineering electronic engineering information engineering primal-dual algorithm 020201 artificial intelligence & image processing General Materials Science Algorithm design Enhanced Data Rates for GSM Evolution Noise (video) lcsh:Electrical engineering. Electronics. Nuclear engineering Algorithm lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 6, Pp 6829-6839 (2018) |
| ISSN: | 2169-3536 |
| Popis: | Color transfer is to generate synthetic images by changing the color of target images with new colors obtained from given source images, while the geometrical structure of the synthetic images remains the same. Classical color transfer models use a total variation (TV) regularizer to preserve the details and suppress the noise of the synthetic images. These models can sometimes cause staircase effect and geometrical structure details over-smoothed. To overcome these problems, we propose a new color transfer model in which an adaptive second-order total generalized variation (TGV) regularizer is designed. Here, the adaptive second-order TGV regularizer is a weighted second-order TGV regularizer. The weight is computed by an adaptive edge indicator function. In addition, an efficient algorithm is developed to program our new model. The algorithm is based on a weighted primal–dual method. Experimental results and comparisons demonstrate that our new color transfer model can generate better results than classical TV regularizer-based models in the aspects of the inhibition of staircase effect and the preservation of image details. |
| Databáze: | OpenAIRE |
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