Multifocus Fusion Image Enhancement Based on Image Subtraction Angiography and NSML

Shuai Tian; Yafei Ren; Xinye Shao; Jianlong Shao

doi:10.3788/LOP57.201016

Laser & Optoelectronics Progress, Volume. 57, Issue 20, 201016(2020)

Multifocus Fusion Image Enhancement Based on Image Subtraction Angiography and NSML

Shuai Tian¹, Yafei Ren¹, Xinye Shao^1,2, and Jianlong Shao^1、*

¹Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China

²College of Engineering & Science, Florida Institute of Technology, Melbourne, FL 32901, U.S.A.;

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Figures & Tables(11)

Fig. 1. Schematic of principle of SNFS method

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Fig. 2. Removal of detail processing results for different r values. (a) IDM; (b) 0.00001 pixel; (c) 0.0001 pixel; (d) 0.001 pixel; (e) 0.01 pixel; (f) 0.1 pixel

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Fig. 3. Partial public dataset image. (a) Grayscale images; (b) color images

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Fig. 4. Quantitative results of different parameters on fusion index. (a) r; (b) w; (c) ε

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Fig. 5. Decision graphs and fusion results obtained by different detection methods. (a)I₁; (b) MWGF; (c) CNN; (d) Ma'; (e) GFDF

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Fig. 6. Whitening afterimages obtained by different detection methods. (a) I₁; (b) NSCT_SR; (c) ASR; (d) MGFF

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Fig. 7. Adaptability analysis results of color images. (a) Q_MI; (b) Q_M; (c) Q_Y; (d) Q_CB

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Fig. 8. Adaptability analysis results of grayscale images. (a) Q_MI; (b) Q_M; (c) Q_Y; (d) Q_CB

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Table 1. Comprehensive evaluation results of 13 sets of color images

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Table 1. Comprehensive evaluation results of 13 sets of color images

Method	Q_MI	Q_M	Q_Y	Q_CB
MWGF	0.9807	1.7485	0.9524	0.7741
Proposed	1.0132	1.7983	0.9532	0.7797
NSCT_SR	0.8630	1.4200	0.9348	0.7358
Proposed	1.0118	1.8062	0.9527	0.7813
ASR	0.8706	1.1907	0.9291	0.7237
Proposed	1.0117	1.7710	0.9435	0.7882
CNN	1.0063	1.7476	0.9526	0.7808
Proposed	1.0149	1.8113	0.9531	0.7813
Ma'	1.0091	1.7758	0.9532	0.7816
Proposed	1.0146	1.8091	0.9532	0.7812
MGFF	0.7558	0.6227	0.8746	0.6668
Proposed	1.0083	1.7782	0.9511	0.7793
GFDF	1.0108	1.7953	0.9534	0.7823
Proposed	1.0142	1.8142	0.9530	0.7815

Table 2. Comprehensive evaluation results of 11 sets of grayscale images

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Table 2. Comprehensive evaluation results of 11 sets of grayscale images

Method	Q_MI	Q_M	Q_Y	Q_CB
MWGF	1.0302	1.4084	0.8757	0.7333
Proposed	1.0470	1.4274	0.8793	0.7375
NSCT_SR	0.9483	1.2140	0.8524	0.7035
Proposed	1.0453	1.4262	0.8801	0.7371
ASR	0.9567	1.0546	0.8540	0.6717
Proposed	1.0447	1.4258	0.8767	0.7340
CNN	1.1243	1.7473	0.9152	0.7685
Proposed	1.0457	1.4302	0.8792	0.7380
Ma'	1.0354	1.3870	0.8745	0.7315
Proposed	1.0440	1.4320	0.8785	0.7353
MGFF	0.8090	0.5988	0.7716	0.6188
Proposed	1.0375	1.3972	0.8763	0.7310
GFDF	1.0408	1.4203	0.8782	0.7361
Proposed	1.0446	1.4304	0.8786	0.7371

Table 3. Average time calculated by different methods unit: s
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Table 3. Average time calculated by different methods unit: s
Image MWGF NSCT_SR Ma' CNN MGFF GFDF Proposed
Grayscale 18.39 159.48 4.89 155.13 1.00 0.66 0.40
Color 15.62 166.14 3.60 133.47 1.96 0.52 0.37

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Shuai Tian, Yafei Ren, Xinye Shao, Jianlong Shao. Multifocus Fusion Image Enhancement Based on Image Subtraction Angiography and NSML[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201016

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