Low-Light Visible and Infrared Image Fusion in NSST Domain

2020 ◽  
pp. 61-68
Author(s):  
Apoorav Maulik Sharma ◽  
Ayush Dogra ◽  
Bhawna Goyal ◽  
Renu Vig ◽  
Sunil Agrawal
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Low Light

Contrast Enhanced Low-light Visible and Infrared Image Fusion

2016 ◽  
Vol 66 (3) ◽  
pp. 266 ◽  
Author(s):  
Sandhya Kumari Teku ◽  
S. Koteswara Rao ◽  
I. Santhi Prabha
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Principal Component ◽  
Bistable System ◽  
Low Light ◽  
Decomposition Approach ◽  
Multiple Modalities ◽  
Multi Scale ◽  
Contrast Enhanced ◽  
Infrared Cameras

<p>Multi-modal image fusion objective is to combine complementary information obtained from multiple modalities into a single representation with increased reliability and interpretation. The images obtained from low-light visible cameras containing fine details of the scene and infrared cameras with high contrast details are the two modalities considered for fusion. In this paper, the low-light images with low target contrast are enhanced by using the phenomenon of stochastic resonance prior to fusion. Entropy is used as a measure to tune iteratively the coefficients using bistable system parameters. The combined advantage of multi scale decomposition approach and principal component analysis is utilized for the fusion of enhanced low-light visible and infrared images. Experimental results were carried out on different image datasets and analysis of the proposed methods were discussed. </p>

NPP/Visible Infrared Image Radiometer Suite Low-Light Image Fusion Algorithm for City Lights in Mid-Eastern China

2018 ◽  
Vol 55 (10) ◽  
pp. 102804
Author(s):  
余越 Yu Yue ◽  
胡秀清 Hu Xiuqing ◽  
闵敏 Min Min ◽  
许廷发 Xu Tingfa ◽  
何玉青 He Yuqing ◽  
...  
Keyword(s):  
Image Fusion ◽  
Eastern China ◽  
Infrared Image ◽  
Fusion Algorithm ◽  
Low Light ◽  
Light Image

The influence of low light level ICCD image on low light level and infrared image fusion

2016 ◽  
Author(s):  
Qing-ping Hu ◽  
Xiao-hui Zhang ◽  
Chao Liu
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Light Level ◽  
Low Light

A robust color image fusion for low light level and infrared images

2016 ◽  
Author(s):  
Chao Liu ◽  
Xiao-hui Zhang ◽  
Qing-ping Hu ◽  
Yong-kang Chen
Keyword(s):  
Image Fusion ◽  
Color Image ◽  
Light Level ◽  
Infrared Images ◽  
Low Light

Infrared Image Fusion Algorithm Selection Based on Joint Drop Shadow of Possibility Distributions

2021 ◽  
Vol 50 (4) ◽  
pp. 228-240
Author(s):  
吉琳娜 Linna JI ◽  
郭小铭 Xiaoming GUO ◽  
杨风暴 Fengbao YANG ◽  
张雅玲 Yaling ZHANG
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Fusion Algorithm ◽  
Algorithm Selection ◽  
Possibility Distributions

A novel method for determination of the oil slick area based on visible and thermal infrared image fusion

2021 ◽  
Vol 119 ◽  
pp. 103915
Author(s):  
Li-Feng Wang ◽  
Li-Ping Xin ◽  
Bo Yu ◽  
Lian Ju ◽  
Lai Wei
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Thermal Infrared ◽  
Oil Slick ◽  
Novel Method

Multi-scale saliency measure and orthogonal space for visible and infrared image fusion

2021 ◽  
Vol 118 ◽  
pp. 103916
Author(s):  
Yaochen Liu ◽  
Lili Dong ◽  
Wei Ren ◽  
Wenhai Xu
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Multi Scale ◽  
Orthogonal Space
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