Feature-preserving color pencil drawings from photographs

Computational Visual Media

Research Article

Shengwu Fu¹  Dong Wang¹  Yun Liang¹  Guiqing Li²  Chengying Gao³ 

[1] College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China;School of Computer Science & Engineering, South China University of Technology, Guangzhou, China;School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China;

关键词: non-photorealistic rendering;    pencil drawings;    image editing;    feature preservation;   

DOI  :  10.1007/s41095-022-0320-6

 received in 2022-06-10, accepted in 2022-10-03,  发布年份 2022

来源: Springer

【 摘 要 】

Color pencil drawing is well-loved due to its rich expressiveness. This paper proposes an approach for generating feature-preserving color pencil drawings from photographs. To mimic the tonal style of color pencil drawings, which are much lighter and have relatively lower saturation than photographs, we devise a lightness enhancement mapping and a saturation reduction mapping. The lightness mapping is a monotonically decreasing derivative function, which not only increases lightness but also preserves input photograph features. Color saturation is usually related to lightness, so we suppress the saturation dependent on lightness to yield a harmonious tone. Finally, two extremum operators are provided to generate a foreground-aware outline map in which the colors of the generated contours and the foreground object are consistent. Comprehensive experiments show that color pencil drawings generated by our method surpass existing methods in tone capture and feature preservation.

【 授权许可】

CC BY   
© The Author(s) 2023