Part task investigation of multispectral image fusion using gray scale and synthetic color night-vision sensor imagery for helicopter pilotage

1997 ◽  
Author(s):  
Paul M. Steele ◽  
Philip Perconti
Keyword(s):  
Image Fusion ◽  
Multispectral Image ◽  
Night Vision ◽  
Vision Sensor ◽  
Gray Scale ◽  
Color Night Vision

Color Night Vision for Navigation and Surveillance

2000 ◽  
Vol 1708 (1) ◽  
pp. 40-46 ◽  
Author(s):  
Sanjoy Das ◽  
Yunlong Zhang
Keyword(s):  
Image Fusion ◽  
Principal Components ◽  
Infrared Camera ◽  
Multispectral Image ◽  
Night Vision ◽  
Low Light ◽  
Significant Component ◽  
Visible Image ◽  
Gray Scale Image ◽  
Fused Image

Fusion of registered images of night scenery that are obtained from cameras tuned to different band-widths will be a significant component of future night-vision devices. A new algorithm for such multispectral image fusion is described. The algorithm performs gray-scale image fusion using a method based on principal components. The monochrome fused image is then colored by means of a suitable pseudocoloring technique to produce the fused color output image. The approach can easily be used for any number of bandwidths. Examples illustrate the algorithm’s use to fuse an intensified low-light visible image with another image obtained from a single forward-looking infrared camera. The algorithm may be implemented readily in hardware for use in night-vision devices as an important aid to surveillance and navigation in total darkness. The applicability of the technology to transportation is also discussed.

Infrared visible color night vision image fusion based on deep learning

2021 ◽  
Author(s):  
Yan Zou ◽  
Linfei Zhang ◽  
Chengqian Liu ◽  
Bowen Wang ◽  
Yan Hu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Fusion ◽  
Night Vision ◽  
Color Night Vision

Real-time image fusion system for low-light color night vision

2002 ◽  
Author(s):  
Shengxiang Wang ◽  
Zhiyun Gao ◽  
Weiqi Jin ◽  
Shanfeng Hou
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Night Vision ◽  
Fusion System ◽  
Low Light ◽  
Real Time Image ◽  
Color Night Vision ◽  
Light Color ◽  
Time Image

Study on Color Night Vision Image Fusion Method Based on Quadruple-band Images

2017 ◽  
Vol 46 (5) ◽  
pp. 510002
Author(s):  
吴海兵 WU Hai-bing ◽  
陶声祥 TAO Sheng-xiang ◽  
顾国华 GU Guo-hua ◽  
王书宇 WANG Shu-yu
Keyword(s):  
Image Fusion ◽  
Night Vision ◽  
Fusion Method ◽  
Color Night Vision ◽  
Image Fusion Method

Night Vision Image Fusion Based on Phase Information Modulation and Image Enhancement Technique

2014 ◽  
Vol 568-570 ◽  
pp. 663-667
Author(s):  
Jiang Zhou ◽  
Bo Zhai ◽  
Ya Meng Han ◽  
You Shan Qu ◽  
Ya Li Yu
Keyword(s):  
Image Fusion ◽  
Image Enhancement ◽  
Phase Modulation ◽  
Amplitude Spectrum ◽  
Infrared Image ◽  
Night Vision ◽  
Phase Information ◽  
Real Time Processing ◽  
Enhancement Technique ◽  
Color Night Vision

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.

scholarly journals Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Inter-Image Variability

2021 ◽  
pp. 1-1
Author(s):  
Ricardo Augusto Borsoi ◽  
Clemence Prevost ◽  
Konstantin Usevich ◽  
David Brie ◽  
Jose Carlos M. Bermudez ◽  
...  
Keyword(s):  
Image Fusion ◽  
Tensor Decomposition ◽  
Multispectral Image ◽  
Image Variability

Hyperspectral and multispectral image fusion techniques for high resolution applications: a review

2021 ◽  
Author(s):  
Dioline Sara ◽  
Ajay Kumar Mandava ◽  
Arun Kumar ◽  
Shiny Duela ◽  
Anitha Jude
Keyword(s):  
High Resolution ◽  
Image Fusion ◽  
Multispectral Image
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