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Shading Structure-Guided Depth Image Restoration

机译:阴影结构引导的深度图像还原

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Color-guided depth image restoration is an issue of great interest. However, the edge in color image is not always consistent with the depth image. There is a certain relationship between the shading component of RGB image and the depth, so a depth image restoration method is proposed with shading structure guidance. First, the RGB image is decomposed into the shading component and the reflectance component based on Retinex Theory; next, calculate the structure tensors of the shading component and the depth image respectively, and the corresponding eigenvalues and eigenvectors; then, design the diffusion tensor with the eigenvalues and eigenvectors of the depth structure tensor to make the diffusion be along the level lines isophotes, finally the shading structure is introduced to inhibit the diffusion in the direction perpendicular to the edge, and the depth image is restored by diffusion. Experiments show, visually and quantitatively, the better restoration results are achieved by the introduction of the shading structure.
机译:色彩引导的深度图像恢复是一个非常令人感兴趣的问题。但是,彩色图像中的边缘并不总是与深度图像一致。 RGB图像的阴影成分与深度之间存在一定的关系,因此提出了一种在阴影结构指导下的深度图像恢复方法。首先,根据Retinex理论将RGB图像分解为阴影分量和反射率分量。接下来,分别计算阴影分量和深度图像的结构张量,以及对应的特征值和特征向量。然后,利用深度结构张量的特征值和特征向量设计扩散张量,使扩散沿着等高线等视线,最后引入阴影结构以抑制在垂直于边缘的方向上扩散,深度图像为通过扩散恢复。实验从视觉和数量上都表明,通过引入阴影结构可以实现更好的修复效果。

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