DocumentCode
1220069
Title
Flow-Based Image Abstraction
Author
Kang, Henry ; Lee, Seungyong ; Chui, Charles K.
Author_Institution
Dept. of Math. & Comput. Sci., Univ. of Missouri, St. Louis, MO
Volume
15
Issue
1
fYear
2009
Firstpage
62
Lastpage
76
Abstract
We present a non-photorealistic rendering technique that automatically delivers a stylized abstraction of a photograph. Our approach is based on shape/color filtering guided by a vector field that describes the flow of salient features in the image. This flow-based filtering significantly improves the abstraction performance in terms of feature enhancement and stylization. Our method is simple, fast, and easy to implement. Experimental results demonstrate the effectiveness of our method in producing stylistic and feature-enhancing illustrations from photographs.
Keywords
filtering theory; image colour analysis; image enhancement; photography; rendering (computer graphics); feature enhancement; feature stylization; flow-based filtering; flow-based image abstraction; nonphotorealistic rendering; photograph abstraction; shape/color filtering; vector field; Color; Colored noise; Data mining; Displays; Filtering; Filters; Layout; Noise shaping; Rendering (computer graphics); Shape; Enhancement; Picture/Image Generation; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Rheology;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2008.81
Filename
4522547
Link To Document