Acta Optica Sinica, Volume. 39, Issue 10, 1015001(2019)
Infrared and Visible Image Fusion Method Based on Convolutional Auto-Encoder and Residual Block
Fig. 1. Architecture of residual block
Fig. 2. Network architecture of proposed method
Fig. 3. Diagram of fusion strategy
Fig. 4. Decline curves of different loss functions in training process
Fig. 5. Framework of training process
Fig. 6. The first group of image fusion contrast experiments. (a) Infrared image; (b) visible image; (c) method in Ref. [15]; (d) method in Ref. [16]; (e) method in Ref. [17]; (f) method in Ref. [18]; (g) proposed method
Fig. 7. The second group of image fusion contrast experiments. (a) Infrared image; (b) visible image; (c) method in Ref. [15]; (d) method in Ref. [16]; (e) method in Ref. [17]; (f) method in Ref. [18]; (g) proposed method
Fig. 8. The third group of image fusion contrast experiments. (a) Infrared image; (b) visible image; (c) method in Ref. [15]; (d) method in Ref. [16]; (e) method in Ref. [17]; (f) method in Ref. [18]; (g) proposed method
Fig. 9. Partial results of image fusion contrast experiments. (a1)-(a6) Infrared images; (b1)-(b6) visible images; (c1)-(c6) method in Ref. [15]; (d1)-(d6) method in Ref. [16]; (e1)-(e6) method in Ref. [17]; (f1)-(f6) method in Ref. [18]; (g1)-(g6) proposed method
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Zetao Jiang, Yuting He. Infrared and Visible Image Fusion Method Based on Convolutional Auto-Encoder and Residual Block[J]. Acta Optica Sinica, 2019, 39(10): 1015001
Category: Machine Vision
Received: Apr. 23, 2019
Accepted: May. 31, 2019
Published Online: Oct. 9, 2019
The Author Email: He Yuting (839191881@qq.com)