JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (2): 24-27.

• Articles • Previous Articles     Next Articles

Dunhuang murals  in-painting  based on image  decomposition

HUANG Wei1， WANG Shu-wen2*， YANG Xiao-ping3, JIA Jian-fang3   

  1. 1. Department of Computer Science, Zhoukou Normal University, Zhoukou 466001, China;
    2. College of Electrical Engineering, Northwest University for Nationalities, Lanzhou 730030, China;
    3. China Minorities Information Technology Institute, Northwest University for Nationalities, Lanzhou 730030, China
  • Received:2009-05-25 Online:2010-04-16 Published:2009-05-25

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Abstract:

An algorithm for image in-painting based on decomposition was proposed to in-paint the digital images of Dunhuang murals. The  color image in-painting was achieved by using  the Lαβ color space for the  access decomposition and by using the total variation(TV) noise model for image decomposition. The  decomposition algorithm did not require the calculation of Banach space norm. This method could not only reduce the complexity of the numerical calculation of the model, but also  reduce the affection that noise made on the results of repair in Dunhuang murals. The experiments showed that this algorithm could well in-paint the shedding and scratch of the damaged Dunhuang murals.

Key words: image in-painting, image decomposition, structure, texture, Lαβ , color space

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