Zeng Xiangtong, Zhang Yuzhen, Sun Jiasong, Yu Shiling. One color contrast enhanced infrared and visible image fusion method[J]. Infrared and Laser Engineering, 2015, 44(4): 1198-1202.
| Citation:
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Zeng Xiangtong, Zhang Yuzhen, Sun Jiasong, Yu Shiling. One color contrast enhanced infrared and visible image fusion method[J]. Infrared and Laser Engineering, 2015, 44(4): 1198-1202.
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One color contrast enhanced infrared and visible image fusion method
- 1.
School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;
- 2.
Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense,Nanjing 210094,China
- Received Date: 2014-08-12
- Rev Recd Date:
2014-09-15
- Publish Date:
2015-04-25
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Abstract
Focus on color fusion for infrared and visible images with low contrast between target and background issues, a contrast enhancement method for infrared and visible image was presented based on HSI color space. Firstly, the contrast of infrared and visible images was enhanced using local histogram equalization and median filter, then the infrared target was extracted from the enhanced infrared image after fuzzy threshold segmentation. Finally, the two enhanced images and the segmentation infrared target were fused into the three components of a HSI image in terms of a simple linear fusion strategy and color transfer. To enhance the color contrast between the target and the background, a scaling factor was introduced into the transferring equation in the H channel during color transfer process. The experimental results show that, compared with other algorithms, the color fusion images of hot target and color contrast between low temperature object and background abtained by the presented method enhance obviously. At the same time, the details of visible images are endowed with natural color similar to that of the light color images during the day, which is more confortable to the human's visual perception.
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References
|
[1]
|
Toet A. Applying daytime colors to multiband nightvision imagery[C]//SPIE, 2003: 168-178. |
|
[2]
|
|
|
[3]
|
Toet A. Natural color mapping for multiband nightvision imagery[J]. Information Fusion, 2003, 4(2): 155-166. |
|
[4]
|
|
|
[5]
|
|
|
[6]
|
Wang L X, Shi S M, Jin W Q, et al, Color fusion algorithm for visible and infrared images based on color transfer in YUV color space[C]//SPIE, 2007: 1781-1787. |
|
[7]
|
Zheng Y, Essock E A. A local-coloring method for night-vision colorization utilizing image analysis and fusion[J].Information Fusion, 2008, 9(2): 186-199. |
|
[8]
|
|
|
[9]
|
Yin S F, Cao L C, Ling Y S, et al. One contrast enhancement method for color night vision[J]. Infrared Physics Technology, 2010, 53(4): 146-150. |
|
[10]
|
|
|
[11]
|
|
|
[12]
|
Qian X Y, Wang Y J, Wang B F. Effective contrast enhancement method for color night vision[J]. Infrared Physics and Technology, 2012, 55(1): 130-136. |
|
[13]
|
Qian X Y, Wang Y J, Wang B F. Color contrast enhancement for color night vision based on color mapping[J]. Infrared Physics and Technology, 2013, 57(6): 36-41. |
|
[14]
|
|
|
[15]
|
Jiang Yiming, Wang Keyong. Infrared image segmentation algorithm of tank[J]. Infrared and Laser Engineering, 2007, 56(4): 1481-1485. (in Chinese) |
|
[16]
|
|
|
[17]
|
|
|
[18]
|
Cheng Guo, Zuo Hongfu. The image adaptive thresholding by index of fuzziness[J]. Acta Automatic Sinica, 2003, 29(5): 386-390. (in Chinese) |
|
[19]
|
|
|
[20]
|
Jang J H, Ra J B. Psehdo-color image based on intensity-hue- saturation[C]//Proceedings of IEEE International Conference on Multisensor Fusion and Itegration for Intelligent Systems, 2008: 1066-1071. |
|
[21]
|
Cheng Zhengyun, Wang Xia, Zou Xiaofeng, et al. Polarimetric and milti-spectral image fusion based on HIS color system and wavelet transform[J]. Acta Photonica Sinica, 2010, 39(1): 1710-1712. (in Chinese) |
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