Image Cartoonization Using Data Augmentation in Deep Learning’s Methodology
Abstract
In this paper, we
have discussed various methodologies for transforming an actual real-world
image into a cartoon-effect image. Despite the pre-existing traditional image-editing
softwares and algorithms which provide standard features, they still fail to
fabricate satisfactory results for cartoonization. Hence, to provide the
painterly effect onto the images, several methods have been applied on the
basis of rendering effects and diverse expressive styles generated. The outcome
obtained from the analysis can be integrated with various other useful
applications like image processing and transformation, object detection etc.
Country : India
1 Dr. Anbunathan
Professor, Department of Computer Science and Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
IRJIET, Volume 3, Issue 12, December 2019 pp. 59-62
Cartoonization Using LBG And KPE
Vector Quantization Dr. Archana B. Patankar*, Ms. Purnima Tawde.
Patankar, A. B., Kubde, P. A., &
Karia, A. (2016). Image cartoonization methods. 2016 International Conference
on Computing Communication Control and Automation (ICCUBEA).
doi:10.1109/iccubea.2016.7860045.
CartoonGAN: Generative Adversarial
Networks for Photo Cartoonization Yang Chen Tsinghua University, China, Yu-Kun
Lai Cardiff University, UK, Yong-Jin Liu∗ Tsinghua University, China.
Dr.Archana B. Patankar, Purnima
Tawde,” Cartoonization using LBG and KPE Vector Quantization”, International
Journal of Modelling and Simulation, 18(2), 1998, 112-116.
By Sylvain Paris, Pierre Kornprobst,
Jack Tumblin and Fr´edo Durand, “Bilateral Filtering: Theory and
Applications”,Foundations and Trends R in Computer Graphics and Vision Vol. 4,
No. 1 (2008) 1–73 c 2009.
T. G. Stockham, “Image processing in
the context of a visual model,” Proceed-ings of the IEEE, vol. 60, no. 7, pp.
828–842, 1972.
C. Tomasi and R. Manduchi, “Bilateral
filtering for gray and color images,”in Proceedings of the IEEE International
Conference on Computer Vision,pp. 839–846, 1998.
C. C. Wang, “Bilateral recovering of
sharp edges on feature-insensitive sampled meshes,” IEEE Transactions on
Visualization and Computer Graphics, vol. 12,no. 4, pp. 629–639, 2006.
