Multi-focus color image fusion based on bivariate and complex bidimensional empirical mode decompositions

2012 ◽  
Author(s):  
Min-Hung Yeh
Keyword(s):  
Image Fusion ◽  
Color Image

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

scholarly journals Image fusion algorithm based on improved K-singular value decomposition and Hadamard measurement matrix

2018 ◽  
Vol 13 ◽  
pp. 174830181879151
Author(s):  
Qiang Yang ◽  
Huajun Wang
Keyword(s):  
Singular Value Decomposition ◽  
Image Fusion ◽  
Compressive Sensing ◽  
Color Image ◽  
Singular Value ◽  
Measurement Matrix ◽  
Fusion Algorithm ◽  
Full Color ◽  
Value Decomposition ◽  
Time And Space Complexity

To solve the problem of high time and space complexity of traditional image fusion algorithms, this paper elaborates the framework of image fusion algorithm based on compressive sensing theory. A new image fusion algorithm based on improved K-singular value decomposition and Hadamard measurement matrix is proposed. This proposed algorithm only acts on a small amount of measurement data after compressive sensing sampling, which greatly reduces the number of pixels involved in the fusion and improves the time and space complexity of fusion. In the fusion experiments of full-color image with multispectral image, infrared image with visible light image, as well as multispectral image with full-color image, this proposed algorithm achieved good experimental results in the evaluation parameters of information entropy, standard deviation, average gradient, and mutual information.

scholarly journals Multi-Focus Color Image Fusion Algorithm Based on Super-Resolution Reconstruction and Focused Area Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 90760-90778 ◽  
Author(s):  
Shuaiqi Liu ◽  
Jian Ma ◽  
Lu Yin ◽  
Hailiang Li ◽  
Shuai Cong ◽  
...  
Keyword(s):  
Image Fusion ◽  
Color Image ◽  
Super Resolution ◽  
Fusion Algorithm

An Image Fusion Algorithm Based on Pseudo-Color

2012 ◽  
Vol 433-440 ◽  
pp. 5436-5442
Author(s):  
Lei Li
Keyword(s):  
Image Fusion ◽  
Color Image ◽  
Target Identification ◽  
Fusion Image ◽  
Fusion Algorithm ◽  
Color Processing ◽  
False Color ◽  
Fused Image ◽  
Color Fusion ◽  
Pseudo Color

The pseudo-color processing for target identification and tracking is very meaningful Experimental results show that the pseudo-color image fusion is a very effective methods. This paper presents a false color image fusion based on the new method. Fusion using wavelet transform grayscale images, find the gray fused image and the difference between the original image, respectively, as the image of l, α, β components are color fusion image, and then after the color transformation, the final false color fused image. The results showed that the color fusion image colors more vivid, more in line with human visual characteristics.

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