A Deep Multi-Layer Perceptron Model for Automatic Colourisation of Digital Grayscale Images
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-22025-8_14
Reference15 articles.
1. Gupta, R.K., Chia, A.Y.-S., Rajan, D., Ng, E.S., Zhiyong, H.: Image colorization using similar images. Clemson University, Clemson, South Carolina (2012)
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3. Halder, S. S., Kanjar, D., & Roy, P. P. (2018). Perceptual Conditional Generative AdversarialNetworks for End-to-End Image Colourization. Asian Conference on Computer Vision (pp. 269–283). Springer. https://doi.org/10.1007/978-3-030-20890-5_18
4. Jiahao, P., Oscar, C. A., Ketan, T., & Yuanfang, G. (2013). Image colorization using sparse representation. International Conference on Acoustics, Speech, and Signal Processing, 1988 (pp. 1578–1582). IEEE. https://doi.org/10.1109/ICASSP.2013.6637917
5. Johannes, P., Fabian, P., & Gabriele, S. (2017, October 31). Exemplar-based face colorization usingImage morphing. J. Imaging, 3(48). https://doi.org/10.3390/jimaging3040048
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