Algorithm of infrared-polarization image fusion based on fireworks algorithm

2021 ◽  
Author(s):  
Zhiyong Yang ◽  
Gaoxiang Lu ◽  
Wei Cai ◽  
Danqiu Qiao ◽  
Junchen Song
Keyword(s):  
Image Fusion ◽  
Fireworks Algorithm ◽  
Polarization Image

scholarly journals Optimization Algorithm of Infrared-Polarization Image Fusion Based on Fireworks Algorithm

2021 ◽  
Author(s):  
Zhiyong Yang ◽  
Gaoxiang Lu ◽  
Wei Cai ◽  
Danqiu Qiao ◽  
Junchen Song
Keyword(s):  
Image Fusion ◽  
Optimization Algorithm ◽  
Fusion Algorithm ◽  
Problem Model ◽  
Fireworks Algorithm ◽  
Long Wave ◽  
Polarization Image ◽  
Infrared Intensity ◽  
Intensity Image ◽  
Long Wave Infrared

Abstract Because of the shortcomings of traditional infrared-polarization image fusion algorithm, such as low intelligence and single optimization index, this paper proposes an intelligent infrared-polarization image fusion optimization algorithm based on fireworks algorithm. Firstly, an improved differential image correction method based on single pixel nonuniformity is proposed to remove the cold reflection. The two-dimensional discrete cosine transform (DCT) is used to reduce the image sensitivity and improve the robustness, and the Stokes vector formula is used to obtain the polarization characteristic image. Secondly, based on the strong complementarity between infrared-intensity image and degree of linear-polarization (DOLP) image and the explosive optimization of fireworks algorithm, the problem model of weighted fusion algorithm is established, and the fitness function based on root mean square error (RMSE) is constructed to calculate the optimal weight of source image. In the fusion experiment of long-wave infrared-intensity image and DOLP image, this method is compared with the common fusion algorithms. The results show that this method can effectively fuse the infrared-intensity and degree of polarization information, and the evaluation indexes of standard deviation, spatial frequency, mutual information, structural similarity, peak signal-to-noise ratio and information entropy of the fusion image are better than the comparison algorithm. In the future, cooperated with the long-wave infrared-polarization imaging system, this method can be applied to improve the infrared detection ability in complex environment.

Multi-scale singular value decomposition polarization image fusion defogging algorithm and experiment

2020 ◽  
Vol 13 (6) ◽  
pp. 1-10
Author(s):  
ZHOU Wen-zhou ◽  
◽  
FAN Chen ◽  
HU Xiao-ping ◽  
HE Xiao-feng ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Image Fusion ◽  
Singular Value ◽  
Multi Scale ◽  
Polarization Image ◽  
Value Decomposition

Method of Underwater Polarization Image Fusion Based on Hierarchical and Multi-scale Transform

2014 ◽  
Vol 43 (5) ◽  
pp. 510004
Author(s):  
王慧斌 WANG Hui-bin ◽  
廖艳 LIAO Yan ◽  
沈洁 SHEN Jie ◽  
王鑫 WANG Xin
Keyword(s):  
Image Fusion ◽  
Multi Scale ◽  
Polarization Image

Underwater Polarization Image Fusion Based on NSST and Adaptive SPCNN

2020 ◽  
Vol 57 (6) ◽  
pp. 061006
Author(s):  
于津强 Yu Jinqiang ◽  
段锦 Duan Jin ◽  
陈伟民 Chen Weimin ◽  
莫苏新 Mo Suxin ◽  
李英超 Li Yingchao ◽  
...  
Keyword(s):  
Image Fusion ◽  
Polarization Image

Adaptive polarization image fusion based on regional energy dynamic weighted average

2005 ◽  
Vol 1 (3) ◽  
pp. 224-227 ◽  
Author(s):  
Yong-qiang Zhao ◽  
Quan Pan ◽  
Hong-cai Zhang
Keyword(s):  
Image Fusion ◽  
Weighted Average ◽  
Regional Energy ◽  
Polarization Image

scholarly journals Visible Light Polarization Image Fusion based on Dense Connection Generative Adversarial Network

2021 ◽  
Vol 2035 (1) ◽  
pp. 012028
Author(s):  
Tao Wang ◽  
Jianghua Cheng ◽  
Tong Liu ◽  
Kangcheng Zhao ◽  
Bang Cheng ◽  
...  
Keyword(s):  
Visible Light ◽  
Image Fusion ◽  
Light Polarization ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Polarization Image

A visible polarization image fusion algorithm based on NSST transform

2020 ◽  
Author(s):  
Zhao Zhen Jiang ◽  
Yusheng Han ◽  
Fei Ye ◽  
Shuaijun Ren ◽  
Hao Zhai ◽  
...  
Keyword(s):  
Image Fusion ◽  
Fusion Algorithm ◽  
Polarization Image
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