An Improved Gray Multi-focus Image Fusion Algorithm Based on Dual-Tree Complex Wavelet Transform

Color multi-focus image fusion algorithm based on fuzzy theory and dual-tree complex wavelet transform

“…The CC of LPT_IHS is the smallest and is the largest one, indicating its fusion performance is the worst. The performance of DT-CWT_IHS and the method of Wang et al 10 are both better than LPT_IHSs, indicating that DT-CWT can provide more detailed edge information of images, which is advantageous in keeping the useful information of the original images.…”

“…The second one is based on the fusion algorithm of IHS space and DT-CWT (DT-CWT_IHS). The third one is based on the method of Wang et al., 10 which fuses R, G, B components from the original image after DT-CWT. In this method, the pixel of local area is set as 5 × 5 and self-defined threshold value of low frequent components are set as 0.1 and 0.01, while the high-frequency components are set as 0 and 0.1.…”

“…Figure 4(a) and (b) shows the color multi-focus original images and (c) to (f) are the results of different methods.

Figure 4.Results of different methods: (a) original image focus on left; (b) original image focus on right; (c) fused image based on LPT; (d) fused image based on DT-CWT_IHS; (e) fused image from paper 10 ; (f) fused image based on the proposed algorithm.

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“…Results of different methods: (a) original image focus on left; (b) original image focus on right; (c) fused image based on LPT; (d) fused image based on DT-CWT_IHS; (e) fused image from paper 10 ; (f) fused image based on the proposed algorithm.…”

“…The focus differences of the original images are all eliminated and the detailed information is kept. When compared in detail, fused image from paper 10 (Figure 4(e)) has an obvious color distortion from the original image. The reason lies in that this method fuses the R, G, B components of the original image respectively, which indicates the information of brightness, chromaticity, and so on.…”