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Application of Digital Processing in Relic Image Restoration Design

机译：数字处理在遗物图像恢复设计中的应用

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摘要

Cultural relic is the carrier of human historic culture, which can reflect the cultural and social environment, but cultural relics as a material will be damaged over time. Before the advent of computer technology, the damaged cultural relics would not be repaired due to cost. Computer vision technology has been applied to the restoration of cultural relics, mainly for the virtual restoration of damaged cultural relics images. This paper briefly introduced the Criminisi image restoration algorithm and the structure tensor used to improve the algorithm in the digital cultural relics image restoration. A damaged cultural relics image and a complete image which was damaged by human were repaired respectively using the classical Criminisi image restoration algorithm and the improved structure tensor based repair algorithm on MATLAB software. The results showed that the Criminisi image restoration algorithm could be used to repair the damaged images of ancient fabrics. It was found that the classical image restoration algorithm had some shortcomings, such as inappropriate texture structure, obvious repair marks and addition of redundant information, but the improved algorithm effectively avoided the above shortcomings. The peak signal to noise ratio (SNR) of the complete image which was damaged by human was compared objectively, and it was found that the improved algorithm had better restoration performance.
机译：文化遗物是人类历史文化的载体，可以反映文化和社会环境，但作为材料的文物将被损坏。在计算机技术出现之前，由于成本，不会修复受损的文物。计算机视觉技术已应用于文物的恢复，主要用于虚拟恢复损坏的文物图像。本文简要介绍了用于改进数字文物图像恢复中的算法的Criminisi图像恢复算法和结构张量。一种受损的文物图像和被人类损坏的完整图像，分别使用经典的克里米肌图像恢复算法和MATLAB软件上的改进的结构张制的修复算法来修复。结果表明，Criminisi图像恢复算法可用于修复古代织物的损坏图像。结果发现，经典图像恢复算法有一些缺点，例如不当纹理结构，明显的修复标记和添加冗余信息，但改进的算法有效避免了上述缺点。客观地比较了由人类损坏的完整图像的峰值信号（SNR）的峰值信号（SNR），并发现改进的算法具有更好的恢复性能。

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