TY - JOUR
T1 - Image-based Painterly Rendering by Evolutionary Algorithm
AU - Chakraborty, Uday K.
AU - Kang, Hyung W.
AU - Wang, Paul P.
N1 - This paper presents an effective method based on genetic algorithm for optimizing the rendering quality in image-based painterly rendering. Based on a multi-level evolutionary approach, the proposed method produces, for a variety of input images, results that are better in a statistically significant way than previous methods.
PY - 2007
Y1 - 2007
N2 - This paper presents an effective method based on genetic algorithm for optimizing the rendering quality in image-based painterly rendering. Based on a multi-level evolutionary approach, the proposed method produces, for a variety of input images, results that are better in a statistically significant way than previous methods.
AB - This paper presents an effective method based on genetic algorithm for optimizing the rendering quality in image-based painterly rendering. Based on a multi-level evolutionary approach, the proposed method produces, for a variety of input images, results that are better in a statistically significant way than previous methods.
UR - https://www.worldscientific.com/doi/abs/10.1142/S1793005707000732
U2 - 10.1142.S1793005707000732
DO - 10.1142.S1793005707000732
M3 - Article
VL - 3
JO - New Mathematics and Natural Computation
JF - New Mathematics and Natural Computation
ER -