基于深度融合的深度图像修复算法

A depth map is a special image that describes the depth of field information of a scene.In order to solve the problem that the depth map often has holes and gaps at the boundary of the object due to random noise and equipment performance,a depth image restoration algorithm is proposed based on depth fusion.For the single depth map,the morphological operation is first used to optimize the cavity region to eliminate the gap and random noise in the depth map.Then,for the iterative filtering process,a new depth fusion strategy is proposed to calculate the depth value and pass the cavity region.The analysis determines the type of the hollow hole region of the depth image and adaptively selects the structural element to perform the iterative operation.Finally,the local depth value reconstruction method is used to repair the depth value at the damaged edge.The experimental results show that the proposed algorithm can maintain the depth distribution of the original depth map while maintaining the depth and gap in the better depth image,and overcome the shortcomings such as depth value distortion and edge blur in the repair process.The comparison test results based on the standard data set Middlebury show that the proposed algorithm achieves good results compared with other algorithms.