Personal Information

  • Master Tutor
  • (Associate Professor)

  • Name (Pinyin):

    wumeng

  • School/Department:

    信息与控制工程学院

  • Education Level:

    With Certificate of Graduation for Doctorate Study

  • Gender:

    Female

  • Degree:

    Doctoral Degree in Engineering

  • Professional Title:

    Associate Professor

  • Status:

    Employed

  • Academic Titles:

    西安建筑科技大学信控学院专职教师，交叉学院兼职教师

  • Other Post:

    中国图象图形学会会员，中国人工智能青委会会员，数字文化遗产保护专委会委员，

  • Discipline:

    Computer Science and Technology

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Paper Publications

Home > Scientific Research > Paper Publications

Perceptual Uniform Simulation for Tang Tomb Mural Inapinting by Camera Array

  • Release time:2024-08-09
  • Hits:

  • Affiliation of Author(s):

    信息与控制工程学院

  • Journal:

    International Journal of Simulation: Systems, Science and Technology

  • Key Words:

    中文关键字：图像修复；壁画；相机阵列；优先值，英文关键字：Inpainting； Mural;camera array; priority

  • Abstract:

    Image inpainting is an effective restoration technology for damaged images used to fill the lost or deteriorated parts of art treasures. Tang tomb mural uses camera array to get high resolution digital images. It is colorful and has plenty of construction information, so it is hard to make a perceptual uniform simulation. In order to simulate the process of filling the damaged pixels as the restorers do, this paper studies an exemplar based inpainting technique. There are some difficulties to inpaint directly: i) the original exemplar-based image inpainting algorithm relied on a global traversal of all pixels to find the best matching exemplar, it is a big time wasting process; ii) the source of the exemplar using only a single lens capturing image, there is a limit on the exemplars to get the final best effects; iii) the mural is colorful, but the previous algorithm always used RGB color model to inpaint the missing patch individually in three channels which experimentally can easily make a mistake in color display. To solve these problems, in this paper the exemplars source are chosen from camera array, and reduce redundancy aim to save processing time. In order to simulate a visual perceptual uniform process, it takes the mural’s color information into account by adding Lab color parameter to the data term. This helps to calculate the priority value and change the order of the filling strategy. The simulation result shows that the improved algorithm can quickly restore the Tang tomb mural better and reduce the error accumulation.

  • Note:

    吴萌

  • Co-author:

    杨文宗

  • First Author:

    wanghuiqin,wumeng

  • Indexed by:

    Journal paper

  • Volume:

    卷：17

  • Issue:

    期：47

  • Page Number:

    页：5.1-5.7

  • Translation or Not:

    no

  • Date of Publication:

    2016-11-01

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