Title
Stippling technique based on color analysis
Abstract
This paper presents a new stippling technique that effectively represents color images similar to the stippling works of artists. First, the proposed method creates a reference image from combining a smoothed image and with an edge image of the source. The color density function, defined by analyzing the information from the HSV color model of the reference image, is applied to the automatic computation of the number, size, and position of the points. Then, we use the weighted Penrose-based importance sampling to make points to be distributed randomly but almost evenly spaced in accordance with the color density within few seconds. In addition, our color jittering can generate efficiently stippling drawings having various colors. For more artistic representation, the points are transformed into the oval-shaped ones and their orientations are defined according to the direction field of color image. Our application areas include animation, digital art, and video processing.
Year
DOI
Venue
2005
10.1007/11582267_68
Lecture Notes in Computer Science
Keywords
Field
DocType
color density function,stippling technique,stippling drawing,new stippling technique,various color,color image,color jittering,color density,reference image,color analysis,edge image,hsv color model,color model,importance sampling,video processing,reference model,density function,multimedia
Computer vision,Color space,Color histogram,Pattern recognition,Computer science,Stippling,Color balance,Artificial intelligence,RGB color model,False color,Color quantization,Color image
Conference
Volume
ISSN
ISBN
3768
0302-9743
3-540-30040-6
Citations 
PageRank 
References 
3
0.39
13
Authors
2
Name
Order
Citations
PageRank
Seok Jang130.39
Hyun-ki Hong26414.17