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
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;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2008.81