Using hybrid knowledge engineering and image processing in color virtual restoration of ancient murals

Yunhe Pan, Yonghuai Liu, Baogang Wei

Research output: Contribution to journalArticlepeer-review

15 Citations (SciVal)
164 Downloads (Pure)

Abstract

Abstract—This paper proposes a novel scheme to virtually restore the colors of ancient murals. Our approach integrates artificial intelligence techniques with digital image processing methods. The knowledge related to the mural colors is first categorized into four types. A hybrid frame and rule-based approach is then developed to represent knowledge and to infer colors. An algorithm that takes into account color similarity and spatial proximity is developed to segment mural images. A novel color transformation method based on color histograms is finally proposed to restore the colors of murals. A number of experiments based on real images have demonstrated the validity of the proposed scheme for color restoration.
Original languageEnglish
Pages (from-to)1338-1343
Number of pages6
JournalIEEE Transactions on Knowledge and Data Engineering
Volume15
Issue number5
DOIs
Publication statusPublished - 29 Sept 2003

Keywords

  • mural
  • color restoration
  • hybrid reasoning
  • color image processing

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