Artistic preprocessing for painterly rendering and image stylization

被引:0
|
作者
Yu Zang
Hua Huang
Chen-Feng Li
机构
[1] Xi’an Jiaotong University,School of Electrical Information Engineering
[2] Beijing Institute of Technology,Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology
[3] Swansea University,College of Engineering
来源
The Visual Computer | 2014年 / 30卷
关键词
Image processing; Example based painting; Color features learning;
D O I
暂无
中图分类号
学科分类号
摘要
A practical image enhancing technique is presented as a preprocessing step for painterly rendering and image stylization, which transforms the input image mimicking the vision of artists. The new method contains mainly two parts dealing with artistic enhancement and color adjustment, respectively. First, through feature extraction and simplification, an abstract shadow map is constructed for the input image, which is then taken as a guide for emphasizing the light–shadow contrast and the important shadow lines. Next, to simulate the intense color emotion often subjectively added by the artist, a color adjustment technique is proposed to generate lively colors with sharp contrast imitating the artistic vision. The preprocessing operation is compatible with existing stylization and stroke-based painterly rendering techniques, and it can also produce different types of stylization results independently.
引用
收藏
页码:969 / 979
页数:10
相关论文
共 50 条
  • [1] Artistic preprocessing for painterly rendering and image stylization
    Zang, Yu
    Huang, Hua
    Li, Chen-Feng
    VISUAL COMPUTER, 2014, 30 (09): : 969 - 979
  • [2] Video Stylization: Painterly Rendering and Optimization With Content Extraction
    Lin, Liang
    Zeng, Kun
    Wang, Yizhou
    Xu, Ying-Qing
    Zhu, Song-Chun
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2013, 23 (04) : 577 - 590
  • [3] Interactive painterly rendering with artistic error correction
    Seo, SangHyun
    Ryoo, SeungTaek
    Park, JinWann
    MULTIMEDIA TOOLS AND APPLICATIONS, 2013, 65 (02) : 221 - 237
  • [4] Interactive painterly rendering with artistic error correction
    SangHyun Seo
    SeungTaek Ryoo
    JinWann Park
    Multimedia Tools and Applications, 2013, 65 : 221 - 237
  • [5] Painterly rendering using image salience
    Collomosse, JP
    Hall, PM
    20TH EUROGRAPHICS UK CONFERENCE, PROCEEDINGS, 2002, : 122 - 128
  • [6] From Image Parsing to Painterly Rendering
    Zeng, Kun
    Zhao, Mingtian
    Xiong, Caiming
    Zhu, Song-Chun
    ACM TRANSACTIONS ON GRAPHICS, 2009, 29 (01):
  • [7] Feature-guided painterly image rendering
    Li, N
    Huang, ZY
    2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2002, : 653 - 656
  • [8] IMAGE-BASED PAINTERLY RENDERING BY EVOLUTIONARY ALGORITHM
    Chakraborty, Uday K.
    Kang, Hyung W.
    Wang, Paul P.
    NEW MATHEMATICS AND NATURAL COMPUTATION, 2007, 3 (02) : 239 - 257
  • [9] Image Preprocessing for Artistic Robotic Painting
    Karimov, Artur
    Kopets, Ekaterina
    Kolev, Georgii
    Leonov, Sergey
    Scalera, Lorenzo
    Butusov, Denis
    INVENTIONS, 2021, 6 (01) : 1 - 16
  • [10] A video painterly stylization using semantic segmentation
    Way, Der-Lor
    Chang, Rong-Jie
    Chang, Chin-Chen
    Shih, Zen-Chung
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2022, 45 (04) : 357 - 367