Multi-Focus Image Fusion Based on Non-Subsampled Shearlet Transform and Consistency Optimization

2021 ◽  
Author(s):  
Xuejun Liu ◽  
Guanjun Wang ◽  
Fei Zhao
Keyword(s):  
Image Fusion ◽  
Shearlet Transform ◽  
Focus Image

An Image Fusion Method Based on Shearlet and Multi-Decision

2014 ◽  
Vol 530-531 ◽  
pp. 390-393
Author(s):  
Yong Wang
Keyword(s):  
Image Fusion ◽  
High Frequency ◽  
Image Decomposition ◽  
Fusion Algorithm ◽  
Shearlet Transform ◽  
Fused Image ◽  
Focus Image ◽  
Image Detail ◽  
Image Fusion Method ◽  
Traditional Image

Image processing is the basis of computer vision. Aiming at some problems existed in the traditional image fusion algorithm, a novel algorithm based on shearlet and multi-decision is proposed. At first we discussed multi-focus image fusion and then we use Shearlet transform and multi-decision for image decomposition high-frequency coefficients. Finally, the fused image is obtained through inverse Shearlet transform. Experimental results show that comparing with traditional image fusion algorithms, the proposed approach retains image detail and more clarity.

Multi-Focus Image Fusion Algorithm Based on Fast Finite Shearlet Transform and Guided Filter

2018 ◽  
Vol 55 (1) ◽  
pp. 011001
Author(s):  
朱达荣 Zhu Darong ◽  
许露 Xu Lu ◽  
汪方斌 Wang Fangbin ◽  
刘涛 Liu Tao ◽  
储朱涛 Chu Zhutao
Keyword(s):  
Image Fusion ◽  
Guided Filter ◽  
Fusion Algorithm ◽  
Shearlet Transform ◽  
Focus Image

A Novel Multi-Focus Image Fusion Method Using Shearlet Transform

2010 ◽  
Vol 121-122 ◽  
pp. 373-378 ◽  
Author(s):  
Jia Zhao ◽  
Li Lü ◽  
Hui Sun
Keyword(s):  
Image Fusion ◽  
Fusion Rule ◽  
Fusion Method ◽  
Rule Based ◽  
Shearlet Transform ◽  
Fused Image ◽  
Selection Principles ◽  
Focus Image ◽  
Image Fusion Method ◽  
Traditional Image

According to the different frequency areas decomposed by shearlet transform, the selection principles of the lowpass subbands and highpass subbands were discussed respectively. The lowpass subband coefficients of the fused image can be obtained by means of the fusion rule based on the region variation, the highpass subband coefficients can be selected by means of the fusion rule based on the region energy. Experimental results show that comparing with traditional image fusion algorithms, the proposed approach can provide more satisfactory fusion outcome.

Sign in / Sign up

Export Citation Format

Share Document