Image recoloring based on fast and flexible palette extraction-Reference-Cited by-同舟云学术

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Image recoloring based on fast and flexible palette extraction

Published:2023-05-12 Issue:30 Volume:82 Page:47793-47810
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Yan Simin,Xu Shuchang^ORCID,Yang Wenzhen,Zhang Sanyuan

Funder

National Key Research and Development Program of China

Major Scientific Research Project of the Zhejiang Laboratory

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15114-5.pdf

Reference33 articles.

1. Afifi M, Brubaker MA, Brown MS (2021) Histogan: Controlling colors of gan-generated and real images via color histograms. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7941–7950

2. Aharoni-Mack E, Shambik Y, Lischinski D (2017) Pigment-based recoloring of watercolor paintings. In: Proceedings of the Symposium on Non-Photorealistic Animation and Rendering - NPAR ’17. ACM Press. https://doi.org/10.1145/3092919.3092926

3. Aksoy Y, Aydin TO, Smolić A., Pollefeys M (2017) Unmixing-based soft color segmentation for image manipulation. ACM Trans Graph 36(2):1–19. https://doi.org/10.1145/3002176

4. Ahmed ST, Sreedhar Kumar S, Anusha B, Bhumika P, Gunashree M, Ishwarya B (2018) A generalized study on data mining and clustering algorithms. In: International Conference On Computational Vision and Bio-Inspired Computing, pp. 1121-1129. Springer. https://doi.org/10.1007/978-3-030-41862-5_114

5. Bychkovsky V, Paris S, Chan E, Durand F (2011) Learning photographic global tonal adjustment with a database of input / output image pairs. In: The Twenty-Fourth IEEE Conference on Computer Vision and Pattern Recognition

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