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Research on Color Digital Image Inpainting Method Based on Multispectral Image

机译:基于多光谱图像的彩色数字图像修复方法研究

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The color digital image inpainting method based on multispectral image is proposed for the digital archive of defective Painting Art. The multispectral image is decomposed with KL transform, then the decomposed image is inpainted using the CDD model based on curvature driven diffusion. This method can avoid pseudo color caused by simultaneous repairing of R, G, B three bands of multispectral image, and repair effects are better and in accordance with the “connectivity principle” of human vision. Image details are less distorted. Digital image colors are rich by spectral reflectance reconstruction of multispectral image, and they are closer to the inherent colors of Painting Art and the observation effect of human eyes. It can provide reliable basis for digital inpainting and digital archive work of Painting Art.
机译:提出了一种基于多光谱图像的彩色数字图像修复方法,用于缺陷绘画艺术的数字存档。用KL变换分解多光谱图像,然后使用基于曲率驱动扩散的CDD模型修复分解图像。该方法可以避免由于同时修复多光谱图像的R,G,B三个波段而造成的伪色,并且修复效果更好,并且符合人类视觉的“连通性原理”。图像细节失真较小。通过多光谱图像的光谱反射率重建,数字图像的色彩丰富,并且更接近绘画艺术的固有色彩和人眼的观察效果。它可以为数字绘画和绘画艺术的数字档案工作提供可靠的依据。

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