NDLI: Image stylization using anisotropic reaction diffusion

Content Provider	Springer Nature Link
Author	Chi, Ming Te Liu, Wei Ching Hsu, Shu Hsuan
Copyright Year	2015
Abstract	Image stylization refers to the process of converting input images to a specific representation that enhances image content using several designed patterns. The critical steps to a successful image stylization are the design of patterns and arrangements. However, only skilled artists master such tasks because these tasks are challenging for most users. In this paper, a novel image stylization system based on anisotropic reaction diffusion is proposed to facilitate pattern generation and stylized image design. The system begins with self-organized patterns generated by reaction diffusion. To extend the style of reaction diffusion, the proposed method involves using a set of modifications of anisotropic diffusion to deform shape and introducing a flow field to guide pattern arrangement. A pattern picker is proposed to facilitate the pattern selection from these modifications. In the post-process step, a new thresholding and color mapping method is introduced to refine the sizes, densities, and colors of patterns. From the experimental results and a user study, several image stylizations, including paper-cut, stylized halftone, and motion illusion, are generated using our method, demonstrating the feasibility and flexibility of the proposed system.
Starting Page	1549
Ending Page	1561
Page Count	13
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	32
Issue Number	12
e-ISSN	14322315
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-07-05
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Non-photorealistic rendering Image stylization Reaction diffusion Pattern generation Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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