Fusion of the low-light-level visible and infrared images for night-vision context enhancement

Jin Zhu; Weiqi Jin; Li Li; Zhenghao Han; Xia Wang

doi:doi:10.3788/COL201816.013501

Chinese Optics Letters, 2018, 16 (1): 013501, Published Online: Jul. 17, 2018

Fusion of the low-light-level visible and infrared images for night-vision context enhancement Download： 1057次

Jin Zhu Weiqi Jin ^*Li Li Zhenghao Han Xia Wang

Author Affiliations

School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China

Figures & Tables

Fig. 1. The proposed infrared and visible image FNCE.

下载图片查看原文

Fig. 2. Test pairs of visible and infrared images captured under low-light-level conditions. (a) “Queen’s Road,” (b) “Buildings.”

下载图片查看原文

Fig. 3. Adaptive brightness stretching method.

下载图片查看原文

Fig. 4. Initial enhancement results for the “Queen’s Road” visible image. (a) The original, (b) result with Zhou’s method^[7], and (c) result with the proposed method.

下载图片查看原文

Fig. 5. Structure of the hybrid MSD with the GF and the GDGF.

下载图片查看原文

Fig. 6. Fusion results of different methods for the test images.

下载图片查看原文

Table1. Quantitative Assessments of Different Methods

Method	IE	AG	$Q_{G}$	PS	VIFF
GFF	6.6093	0.0100	0.6132	16.4800	0.4278
GTF	6.3275	0.0061	0.2847	13.7586	0.2205
GFCE	6.8106	0.0152	0.3612	19.5798	0.5648
FNCE	6.9786	0.0187	0.6029	20.6976	0.6580

查看原文

Table2. Average Running Time on 640 × 480 Images

Method	GFF	GTF	GFCE	FNCE
Time (s)	0.526	6.833	1.605	2.069

查看原文

Jin Zhu, Weiqi Jin, Li Li, Zhenghao Han, Xia Wang. Fusion of the low-light-level visible and infrared images for night-vision context enhancement[J]. Chinese Optics Letters, 2018, 16(1): 013501.

Fusion of the low-light-level visible and infrared images for night-vision context enhancement Download： 1057次

Fig. 1. The proposed infrared and visible image FNCE.

Fig. 2. Test pairs of visible and infrared images captured under low-light-level conditions. (a) “Queen’s Road,” (b) “Buildings.”

Fig. 3. Adaptive brightness stretching method.

Fig. 4. Initial enhancement results for the “Queen’s Road” visible image. (a) The original, (b) result with Zhou’s method^[7], and (c) result with the proposed method.

Fig. 5. Structure of the hybrid MSD with the GF and the GDGF.

Fig. 6. Fusion results of different methods for the test images.

Table1. Quantitative Assessments of Different Methods

Table2. Average Running Time on 640 × 480 Images

关于本站 Cookie 的使用提示

全站搜索

Fusion of the low-light-level visible and infrared images for night-vision context enhancement Download： 1057次

Fig. 1. The proposed infrared and visible image FNCE.

Fig. 2. Test pairs of visible and infrared images captured under low-light-level conditions. (a) “Queen’s Road,” (b) “Buildings.”

Fig. 3. Adaptive brightness stretching method.

Fig. 4. Initial enhancement results for the “Queen’s Road” visible image. (a) The original, (b) result with Zhou’s method[7], and (c) result with the proposed method.

Fig. 5. Structure of the hybrid MSD with the GF and the GDGF.

Fig. 6. Fusion results of different methods for the test images.

Table1. Quantitative Assessments of Different Methods

Table2. Average Running Time on 640 × 480 Images

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索

Fig. 4. Initial enhancement results for the “Queen’s Road” visible image. (a) The original, (b) result with Zhou’s method^[7], and (c) result with the proposed method.