Based On The Generated Line Drawing In Figure Intelligent Computer-aided Mural Repair

Dunhuang murals are the key historical and cultural relics of Chin4 which are representativecollections of ancient Chinese art. Because Dunhuang Grotto locates the Gobi area havingatrOcious weather, muras are threatened by many diseases and tUm tO be very frail. So it is anurgent mission to protect these murals. Digital protecting and virtual restoring murals exploits newmethods and proposes effective tools. Digitalized methods are efficient and repeatable, and willnot do any harm to the relics. They break through the limitations of physical methods and presenta new area of the protection and restOtation of murals.This thesis presents a new method fOr digitalized protection and virtual restoration of murals.According to the research of muraI pigment, the experiential knowledge of artists andarcheologists and some well-protected murals, synthetically applying chromatics, graphics, imageprocessing and AI. murals can be virtually restored. Virtual restoration is to restore somecolorchanged, color-faded, or part-shedded murals to its original splendid appearance.Although traditional image processing covers many classical image recovery techniques, we findthese they are limited in mural image recovery because they did not consider the knowledge ofthe domain, the physical and chemical models of murals, or the restrictions of the domain.Therefore, based on the analyzing of the process of mural restoration by artists, we propose aseries of methods aim at computer aided mural restoration copying. We first aPply imagesegmentation and edge detection to the source mural image. Then we constructed an example basewhich can be retrieved by the control points of the examples. We rep1ace the heavily damaged partof the mural with the matched examples in our database. After the interactive revise process, weget the line drawing image of the source mural image. Finally, we can color the line drawing bydifferent style brushes and get the restoration target mural image.At present, this new image processing techniques based on the intelligent line drawing generationhave been aPplies to Dunhuang mural virtual restoration. The archetypal system has beendeveloped successfully. Several papers were published or admitted in sorts of periodicals andconferences at home and abroad. And we wiIl continue our research on some imperfect featuresstill exiSting in our work in the future.