Fig. 1. Crossing decomposition example. (a) Input image; (b) base layer (Gaussian filtering result); (c) bilateral filtering result; (d) edge layer; (e) detail layer

Fig. 2. Cross-decomposition of one-dimensional signals

Fig. 3. Influence of coefficient selection on reconstruction. (a) Equal scale reconstruction; (b) no base layer reconstruction; (c) no detail layer reconstruction; (d) no edge layer reconstruction; (e) influence of change edge coefficient on reconstruction; (f) influence of change detail coefficient on reconstruction

Fig. 4. Reconstruction results at different W_e and W_d values. (a) Input image; (b) W_e=0.6,W_d=1.2; (c) W_e=1.8,W_d=1.2; (d) W_e=5.0,W_d=1.2; (e) base layer; (f) W_e=1.2,W_d=0.6; (g) W_e=1.2,W_d=1.8; (h) W_e=1.2,W_d=5.0

Fig. 5. Flow of proposed algorithm

Fig. 6. HDR Image chromaticity brightness separation and tone mapping. (a) HDR image; (b) HDR chromaticity image; (c) HDR brightness image; (d) tone mapping result in CB color space; (e) tone mapping result in RGB color space

Fig. 7. Group 1 of tone mapping results and their local enlargements. (a) Ref. [7]; (b) Ref. [8]; (c) Ref. [9]; (d) proposed algorithm

Fig. 8. Group 2 of tone mapping results and their local enlargements. (a) Ref. [7]; (b) Ref. [8]; (c) Ref. [9]; (d) proposed algorithm

Fig. 9. Influence of coefficient selection on SSIM value of reconstructed image. (a) Fixed base layer, incremental change edge layer and detail layer; (b) fixed edge layer, incremental change base layer and detail layer; (c) fixed detail layer, incremental change base layer and edge layer