초록
영어
This paper will discuss the exploration of the color restoration correction method of Dun Huang murals, and I will discuss the significance of the color restoration of Dun Huang murals at first. The color of Dun Huang murals is the peak in the history of Chinese murals. The image color is very exquisite and has high artistic value and historical value. In addition, I would elaborate on the significance of color restoration correction, and analyze the importance of addition color mixing, subtraction color rendering and spatial color management theory for Dun Huang murals. And in the analysis of image distortion, I would take digital camera, color printer as an example to discuss. In the method of color correction of Dun Huang murals, the color distortion caused by digital camera and printer often cause the color deviation. Therefore, it is of great practical significance to discuss this two as examples. In the region matching of the color restoration correction system, however, the basic principle of its neural network and the color restoration system of Dun Huang murals can ensure the active color of the entire Dun Huang murals.
한국어
돈황은 우리나라의 유명한 유적지이며 돈황 벽화 또한 예술적 가치가 높다. 돈 황 벽화 분석을통해 우리나라의 민족 예술과 당시의 종교적 지위를 알 수 있으며, 관련 역사학자에게는 더 나은 연구방향을 제공할 수 있다. 돈황 벽화는 소재 선정이 비교적 진보적일 뿐만 아니라 당시 세계 최고의 색채 배합 기술을 사용하여 색채가 밝고 독특 한 정취를 띠고 있다. 다만 시대적 침전을 거치면서 각각 다른 설비 장비가 복제를 할 때 돈황 벽화의 색상은 색상 교정과 복원 문제가 더욱 발생하게 된다. 이 같은 문제의 주요 원인은 장비간의 표시방법과 돈황 벽화의 자체적 퇴색이 갖는 뚜렷한 관계이다. 이에 본 연구는 돈황 벽화 색상 복원 및 교정 방법을 모색하였다.
목차
Ⅰ. Introduction
Ⅱ. The significance of color restoration of Dun Huang murals
Ⅲ. Study on color related theory of Dun Huang fresco
1. Additive color mixing analysis
2. Subtraction emerge color
3. Space color mixing
4. Color management theory
Ⅳ. The analysis of the color distortion in the process of image transmission
1. Distortion caused by digital cameras
2. The distortion of color printer
Ⅴ. The matching of color restoration correct system areas
1. The basic principles of neural networks
2. Design of neural network
Ⅵ. Dun Huang mural color correction system
1. Correction of three primary color values of imageinformation
2. Artificial neural network of modified three primary colors
Ⅶ. Conclusion
ABSTRACT