作　　者： (王宇）; (朴燕）; (孙荣春）;

机构地区： 长春理工大学电子信息工程学院,吉林长春130022

出　　处： 《光学学报》 2017年第8期102-108,共7页

摘　　要： 针对飞行时间相机获取深度图像分辨率低,并受成像噪声干扰的问题,提出一种插值深度图和高分辨率彩色图像联合约束的二阶广义全变分(TGV)深度图超分辨率重建方法。首先利用传统插值和多尺度形态学方法进行预处理,获取插值深度图的梯度信息,然后将插值深度图和同场景高分辨率彩色图像两者的梯度信息联合,对二阶TGV模型中的正则化项加以优化:计算各项异性扩散张量时结合插值深度图的梯度信息;引入由插值深度图梯度信息决定的加权因子,控制重建过程中扩散强度。最后通过原始对偶算法完成深度图的超分辨率重建。实验结果表明,本文方法在抑制噪声的基础上,有效保护了深度边缘,可以获得较好的高分辨率深度图像。 In terms of the low resolution of the depth image subjects to imaging noise interference acquired by time of flight camera,a second-order total generalized variation（TGV）depth image super-resolution reconstruction method based on the joint constraint of interpolated depth image and high resolution color image is proposed.Firstly,to obtain the gradient information of the interpolated depth image,the depth image with low-resolution is preprocessed by using the traditional interpolation and the multi-scale morphology methods.Then,the gradient information of the interpolated depth image and the high-resolution color image of the same scene are combined,and the regularization term in the second-order TGV model can be optimized as follows,the gradient information of the interpolated depth image is combined in calculating the anisotropic diffusion tensor.And to control the diffusion intensity during the reconstruction,a weighting factor determined by the gradient information of the interpolated depth image is introduced.Finally,the primal-dual algorithm is performed to complete the high-resolution reconstruction of the depth image.Experimental results show that the proposed method can effectively preserve the depth edge on the basis of the noise suppression,and a better high-resolution depth image can be achieved.

关 键 词： 图像处理 超分辨率重建 二阶广义全变分 深度图像 多尺度形态学