Fig. 1. Flowchart of the proposed algorithm

Fig. 2. Initial disparity map before and after the adaptive weighting improvement. (a) Before adaptive weight improvement; (b) after adaptive weight improvement

Fig. 3. Disparity maps of each stage. (a) ArtL original image; (b) initial disparity map obtained by fusion cost of Census transformation and MI and improved guided filter aggregation; (c) disparity map optimized by MRF; (d) final disparity map obtained after segmentation optimization and median filtering

Fig. 4. Influence of ρ on the disparity map. (a) Influence of ρ on all area of the disparity map; (b) influence of ρ on the non-occlusion area of the disparity map

Fig. 5. Influence of k on the disparity map. (a) Influence of k on the non-occlusion area of the disparity map; (b) influence of k on all area of the disparity map

Fig. 6. Influence of k on the running time of each optimization stage

Fig. 7. Initial disparity map and optimized disparity map. (a) Initial disparity map; (b) color initial disparity map; (c) disparity map optimized by the proposed algorithm; (d) color disparity map optimized by the proposed algorithm

Table 1. Experimental related parameter settings

Table 2. Influence of k on the average processing time of the images

Table 3. Disparity average error of non-occluded pixel points obtained by different algorithms unit: %