Low-light-level dual-spectrum image fusion based on wavelet transform

1998 ◽  
Author(s):  
Liping Wang ◽  
Bin Liu ◽  
Jianghua Hu ◽  
Baomin Zhang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
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 and Low-light-level Visible Image Fusion Algorithm Based on Contrast Enhancement and Cauchy Fuzzy Function

2019 ◽  
Vol 48 (6) ◽  
pp. 610001
Author(s):  
江泽涛 JIANG Ze-tao ◽  
何玉婷 HE Yu-ting ◽  
张少钦 ZHANG Shao-qin
Keyword(s):  
Image Fusion ◽  
Contrast Enhancement ◽  
Light Level ◽  
Fusion Algorithm ◽  
Low Light ◽  
Visible Image ◽  
Fuzzy Function

Real-time color image fusion for infrared and low-light-level cameras

2009 ◽  
Author(s):  
Junju Zhang ◽  
Yiyong Han ◽  
Benkang Chang ◽  
Yihui Yuan ◽  
Yunsheng Qian ◽  
...  
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Color Image ◽  
Light Level ◽  
Low Light

Infrared and Low-Light-Level Image Fusion Method Based on Sparse Representation and Color Transfer

2014 ◽  
Vol 511-512 ◽  
pp. 462-466
Author(s):  
Shi Hong Xu ◽  
Guo Qing Huang ◽  
Cun Chao Liu ◽  
Chun Ping Xiong
Keyword(s):  
Image Fusion ◽  
Sparse Representation ◽  
Color Image ◽  
Light Level ◽  
Color Contrast ◽  
Fusion Method ◽  
Color Transfer ◽  
Low Light ◽  
Common Component ◽  
Natural Color

A natural color fusion method for infrared and low-light-level image is proposed. This method utilizes image fusion and color transfer. The fused image uses sparse representation to merge the source images information to be assigned to the Y channel. And then the I and Q channel is combined using Toets method, which extracts the common component from the source images. Finally, the false-color image is obtained by using color transfer technology to the prior pseudo-color YIQ image. Experiments show that the result of our method is information that is more salient, has a higher color contrast, and a more natural color appearance when compared with those produced by the traditional coloration algorithm.

Image Fusion Algorithms for True Color Low Light Level Night Vision

2019 ◽  
Vol 56 (8) ◽  
pp. 081008
Author(s):  
蒋云峰 Jiang Yunfeng ◽  
武东生 Wu Dongsheng ◽  
黄富瑜 Huang Fuyu
Keyword(s):  
Image Fusion ◽  
Light Level ◽  
Night Vision ◽  
Low Light ◽  
True Color
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