Smart onboard image enhancement algorithms for SWIR day and night vision camera

Author(s):  
J. Das ◽  
K. Vanhoof ◽  
G. Gielis ◽  
B. Gouverneur ◽  
K. Wouters ◽  
...  
2010 ◽  
Author(s):  
Judith Dijk ◽  
Piet Bijl ◽  
Adam W.M. M. van Eekeren

2014 ◽  
Vol 556-562 ◽  
pp. 4750-4754
Author(s):  
Si Qi Wu ◽  
Yao Hu ◽  
Wei Yu Yu ◽  
Jiu Chao Feng

Night-vision devices are becoming more and more important now, but images captured by these devices often have unpleasing visual effects. According to the characteristics of night-vision images, in this paper we propose an image enhancement approach maintaining color fidelity. Firstly, the image is divided into RGB channel and decomposed into reflectance component and illuminance component. Secondly, the non-uniform illuminance component of the image is filtered again to eliminate the uneven illumination. Finally, we combine the reflectance component and the corrected illuminance component and adjust the brightness of the combined image. The experiment result shows that the proposed enhancement approach has high-performance.


2010 ◽  
Author(s):  
Judith Dijk ◽  
Klamer Schutte ◽  
Alexander Toet ◽  
Maarten Hogervorst

2014 ◽  
Vol 568-570 ◽  
pp. 663-667
Author(s):  
Jiang Zhou ◽  
Bo Zhai ◽  
Ya Meng Han ◽  
You Shan Qu ◽  
Ya Li Yu

In order to observe night vision image easily, a new image fusion method is designed to improve the detail information of night vision images in a simple and efficient way. Instead of the traditional Multi-resolution analysis and spatial transform approach, the designed method highlights the detail information of night vision images by phase modulation and image enhancement technique. In the designed approach, the phase spectrum and amplitude spectrum of the visible and infrared images are extracted using FFT firstly, and then the phase spectra of two images are exchanged and the IFFT is applied to the processed images to produce phase information images. To compensate for the blurring caused by phase modulation, the high-frequency information of the processed infrared image is segmented and applied to the reconstruction of the color night vision image. Finally, color night vision image is fused by assigning the two-modulated images to red and green channels respectively, and the segmented image to blue channel. The experimental results show that the details of the fused image by the new method are richer than those of the images fused by the traditional methods, and the designed algorithm with a little amount of calculation can be easily realized in real-time processing systems.


2000 ◽  
Vol 179 ◽  
pp. 403-406
Author(s):  
M. Karovska ◽  
B. Wood ◽  
J. Chen ◽  
J. Cook ◽  
R. Howard

AbstractWe applied advanced image enhancement techniques to explore in detail the characteristics of the small-scale structures and/or the low contrast structures in several Coronal Mass Ejections (CMEs) observed by SOHO. We highlight here the results from our studies of the morphology and dynamical evolution of CME structures in the solar corona using two instruments on board SOHO: LASCO and EIT.


Author(s):  
Michael Rowan-Robinson
Keyword(s):  

1969 ◽  
Author(s):  
Robert W. Bauer ◽  
David J. Florip
Keyword(s):  

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