Structure-Aware Image Resizing for Chinese Characters

This paper presents a structure-aware resizing method for Chinese character images. Compared to other image resizing approaches, the proposed method is able to preserve important features such as the width, orientation and trajectory of each stroke for a given Chinese character. The key idea of our method is to first automatically decompose the character image into strokes, and then separately resize those strokes naturally using a modified linear blend skinning approach and as-rigid-as-possible shape interpolation under the guidance of structure information. Experimental results not only verify the superiority of our method compared to the state of the art but also demonstrate its effectiveness in several real applications.

[1]  Thomas Martin Deserno,et al.  Survey: interpolation methods in medical image processing , 1999, IEEE Transactions on Medical Imaging.

[2]  Weiming Dong,et al.  Optimized image resizing using seam carving and scaling , 2009, SIGGRAPH 2009.

[3]  S. Avidan,et al.  Seam carving for content-aware image resizing , 2007, SIGGRAPH 2007.

[4]  Jovan Popović,et al.  Bounded biharmonic weights for real-time deformation , 2011, SIGGRAPH 2011.

[5]  Hao Sun,et al.  Non-rigid point set registration for Chinese characters using structure-guided coherent point drift , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[6]  Ralph R. Martin,et al.  A Shape‐Preserving Approach to Image Resizing , 2009, Comput. Graph. Forum.

[7]  David Salesin,et al.  Gaze-based interaction for semi-automatic photo cropping , 2006, CHI.

[8]  Yuke Zhu,et al.  StrokeBank: Automating Personalized Chinese Handwriting Generation , 2014, AAAI.

[9]  Jianguo Xiao,et al.  Automatic shape morphing for Chinese characters , 2012, SIGGRAPH Asia Technical Briefs.

[10]  Sabine Süsstrunk,et al.  Saliency detection for content-aware image resizing , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[11]  O. Sorkine,et al.  Optimized scale-and-stretch for image resizing , 2008, SIGGRAPH 2008.

[12]  Yung-Yu Chuang,et al.  A line-structure-preserving approach to image resizing , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Marc Alexa,et al.  As-rigid-as-possible shape interpolation , 2000, SIGGRAPH.

[14]  Xing Xie,et al.  A visual attention model for adapting images on small displays , 2003, Multimedia Systems.

[15]  Olga Sorkine-Hornung,et al.  Mixed Finite Elements for Variational Surface Modeling , 2010, Comput. Graph. Forum.

[16]  Yunhe Pan,et al.  Automatic generation of artistic chinese calligraphy , 2004, IEEE Intelligent Systems.

[17]  Jonathan Richard Shewchuk,et al.  Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator , 1996, WACG.

[18]  Afzal Godil,et al.  Feature-Preserved 3D Canonical Form , 2013, International Journal of Computer Vision.

[19]  Jirí Zára,et al.  Geometric skinning with approximate dual quaternion blending , 2008, TOGS.

[20]  Ramesh Raskar,et al.  Automatic image retargeting , 2005, MUM '05.