Multi-Focus Image Fusion Algorithm Based on Fast Finite Shearlet Transform and Guided Filter

Zhu Darong; Xu Lu; Wang Fangbin; Liu Tao; Chu Zhutao

doi:10.3788/LOP55.011001

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 1 >Page 11001 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 1, 11001 (2018)

Multi-Focus Image Fusion Algorithm Based on Fast Finite Shearlet Transform and Guided Filter

Zhu Darong^1、2, Xu Lu^1、2、*, Wang Fangbin^1、2, Liu Tao^1、2, and Chu Zhutao^1、2

Author Affiliations

¹School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China

²Key Laboratory of Construction Machinery Fault Diagnosis and Early Warning Technology of Anhui Jianzhu University, Hefei, Anhui 230601, China

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DOI: 10.3788/LOP55.011001 Cite this Article Set citation alerts

Zhu Darong, Xu Lu, Wang Fangbin, Liu Tao, Chu Zhutao. Multi-Focus Image Fusion Algorithm Based on Fast Finite Shearlet Transform and Guided Filter[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11001 Copy Citation Text

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Fig. 1. Source multi-focus images. (a) Clock; (b) Pepsi

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Fusion results of Clock and Pepsi images in different transform domains. (a)(e) Wavelet transformation; (b)(f) curvelet transformation; (c)(g) contourlet transformation; (d)(h) FFST

Fig. 2. Fusion results of Clock and Pepsi images in different transform domains. (a)(e) Wavelet transformation; (b)(f) curvelet transformation; (c)(g) contourlet transformation; (d)(h) FFST

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Fig. 3. Source multi-focus images. (a) Clock; (b) Pepsi; (c) camera; (d) peppers

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Fig. 4. Fusion results of images by using different algorithms. (a) CSGF algorithm;(b) VGF algorithm; (c) NPF algorithm; (d) proposed algorithm

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Sourceimage	Transformdomain	STD	AG	MI	Q^AB/F
Clock	Wavelet	41.0103	0.0108	4.6061	0.6519
	Curvelet	41.0179	0.0106	4.8403	0.6519
	Contourlet	41.2009	0.0109	4.5468	0.6529
	FFST	41.3381	0.0112	5.0364	0.6858
Pepsi	Wavelet	45.2530	0.0187	4.7242	0.7521
	Curvelet	45.4064	0.0189	4.8772	0.7676
	Contourlet	45.3819	0.0189	4.6033	0.7510
	FFST	45.5034	0.0191	5.0618	0.7787

Table 1. Quantitative evaluation results of multi-focus images in different transform domains

Sourceimage	Algorithm	STD	AG	MI	Q^AB/F
Clock	CSGF	41.0031	0.0112	4.9168	0.6793
	VGF	40.2022	0.0109	4.7413	0.6691
	NPF	40.9361	0.0106	4.9357	0.6326
	Proposed	41.3381	0.0112	5.0364	0.6858
Pepsi	CSGF	45.4730	0.0191	4.8902	0.7664
	VGF	44.7719	0.0190	4.9138	0.7712
	NPF	45.0778	0.0186	4.7035	0.7326
	Proposed	45.5034	0.0191	5.0618	0.7787
Camera	CSGF	61.8578	0.0787	6.8443	0.7452
	VGF	60.5755	0.0744	7.0866	0.7564
	NPF	61.0066	0.0784	6.5726	0.7308
	Proposed	61.9525	0.0789	8.0633	0.7632
Peppers	CSGF	57.1871	0.0216	7.5092	0.6944
	VGF	56.1539	0.0196	7.6146	0.7221
	NPF	57.1635	0.0217	8.8365	0.7144
	Proposed	57.2704	0.0218	8.8667	0.7224

Table 2. Quantitative evaluation results of multi-focus images by using different algorithms

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