Open Access
Subscription Access
Open Access
Subscription Access
Digital Image Line Extraction and Edge Smoothing and Quality Analysis
Subscribe/Renew Journal
The image line extraction and edge smoothing in general provides abstracted and stylized rendering of an image. It simplifies the visual interpretation of an image and convey certain features of it more effectively. In this project we are trying to develop a rendering technique that delivers a stylized abstraction of a digital image. Our approach is based on the filtering guided by a directional field that describes the flow of salient characteristics in the image. The line extraction and edge smoothing significantly improves the image quality in terms of feature improvement and image stylization.
Keywords
Digital Image Line Extraction, Edge Smoothing, Image Abstraction, Image Stylization, Filtering.
Subscription
Login to verify subscription
User
Font Size
Information
- Henry Kang, Member, IEEE, Seungyong Lee, Member, IEEE, and Charles K. Chui, Fellow, IEEE “Flow-Based Image Abstraction” IEEE Transactions on Visualization and computer graphics, Vol. 15, NO. 1, January/February 2009
- Kyprianidis, J. E. & Kang, H. (2011). Image and Video Abstraction by Coherence-Enhancing Filtering. Computer Graphics Forum, 30(2), pp. 593-602. (Proceedings Eurographics 2011)
- C. Tomasi , Computer Science Department, Stanford University, R. Manduchi, Interactive Media Group, Apple Computer, Inc. ” Bilateral Filtering for Gray and Color Images” Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India
- Jan Eric Kyprianidis, John Collomosse, Tinghuai Wang, and Tobias Isenberg,” State of the ‘Art’: A Taxonomy of Artistic Stylization Techniques for Images and Video”, IEEE Transactions on visualization and computer graphics, 2012 (Authors’ Version)
- Jan Eric Kyprianidis Hasso-Plattner-Institute, Germany, Henry Kang University of Missouri, St. Louis, USA,” Image and Video Abstraction by Coherence-Enhancing Filtering”, Eurographics 2011 / M. Chen and O. Deussen(Guest Editors) Volume 30 (2011), Number 2
- C. Tomasi R. Manduchi Computer Science Department Interactive Media Group Stanford University Apple Computer, Inc. Stanford, “Bilateral Filtering for Gray and Color Images” Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India
- Ying Li, Tong Zhang, Daniel Tretter Imaging Systems Laboratory HP Laboratories Palo Alto, “An Overview of Video Abstraction Techniques”
Abstract Views: 893
PDF Views: 0