Research of Multi-focus Image Fusion Algorithm Based on Sparse Representation and Orthogonal Matching Pursuit

2014 ◽  
pp. 57-66 ◽  
Author(s):  
Li Xuejun ◽  
Wang Minghui
Keyword(s):  
Image Fusion ◽  
Sparse Representation ◽  
Matching Pursuit ◽  
Orthogonal Matching Pursuit ◽  
Fusion Algorithm ◽  
Focus Image

An improved multi-focus image fusion algorithm based on multi-scale weighted focus measure

2021 ◽  
Author(s):  
Zhanhui Hu ◽  
Wei Liang ◽  
Derui Ding ◽  
Guoliang Wei
Keyword(s):  
Image Fusion ◽  
Fusion Algorithm ◽  
Multi Scale ◽  
Focus Measure ◽  
Focus Image

Optimal fusion of multi-focus image: Integrating WNMF and focal point analysis

2021 ◽  
pp. 2150156
Author(s):  
Shi-Hong Zhang ◽  
Qi-Yuan Zhan ◽  
Wen-Yu Li ◽  
Qiong-Ze Wang
Keyword(s):  
Image Fusion ◽  
Point Spread Function ◽  
Focal Point ◽  
Nonnegative Matrix ◽  
Fusion Algorithm ◽  
Point Position ◽  
Position Analysis ◽  
Point Spread ◽  
Spread Function ◽  
Focus Image

Image fusion can be used to improve the image utilization, spatial resolution and spectral resolution, which has been widely applied on medicine, remote sensing, computer vision, weather forecast and military target recognition. The goal of image fusion is to reduce the uncertainty and redundancy of the output and increase the reliability of the image on the basis of the maximum combination of relevant information. In this paper, a multi-focus image fusion algorithm based on WNMF and Focal point position analysis is proposed to improve the image fusion method based on nonnegative matrix factorization. In the imaging process, the Gaussian function is used to approximate the point spread function in the optical system. Then calculate the difference between the original image and the approximate point spread function and get the weighted matrix [Formula: see text]. Finally, we apply the weighted nonnegative matrix algorithm to image fusion, and the new fusion image with clear parts is obtained. Experimental results show that the multi-focus image fusion algorithm based on WNMF and Focal point position analysis (MFWF) is better.

scholarly journals A Multi-Focus Image Fusion Algorithm Based on Contrast Pyramids

2016 ◽  
Author(s):  
Mingzhu Lai ◽  
Jianguo Sun ◽  
Liguo Zhang ◽  
Yiran Shen ◽  
Qing Yang ◽  
...  
Keyword(s):  
Image Fusion ◽  
Region Growing ◽  
Fusion Algorithm ◽  
New Approach ◽  
Focus Image ◽  
Focus Information ◽  
Robust To Noise

This paper proposes a new approach for multi-focus images fusion based on Region Mosaicing on Contrast Pyramids (REMCP). A density-based region growing method is developed to construct a focused region mask for multi-focus images. The segmented focused region mask is decomposed into a mask pyramid, which is then used for supervised region mosaicking on a contrast pyramid. In this way, the focus measurement and the continuity of focused regions are incorporated and the pixel level pyramid fusion is improved at the region level. Objective and subjective experiments show that the proposed REMCP is more robust to noise than compared algorithms and can fully preserves the focus information of the multi-focus images meanwhile reducing distortions of the fused images.

Multi-focus Image Fusion Based on Super-resolution and Group Sparse Representation

2019 ◽  
Vol 48 (7) ◽  
pp. 710003
Author(s):  
冯鑫 FENG Xin ◽  
胡开群 HU Kai-qun ◽  
袁毅 YUAN Yi ◽  
张建华 ZHANG Jian-hua ◽  
翟治芬 ZHAI Zhi-fen
Keyword(s):  
Image Fusion ◽  
Sparse Representation ◽  
Super Resolution ◽  
Focus Image
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