Multi-focus image fusion based on improved spectral graph wavelet transform

2015 ◽  
Author(s):  
Xiang Yan ◽  
Hanlin Qin ◽  
Zhimin Chen ◽  
Huixin Zhou ◽  
Jia Li ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Spectral Graph ◽  
Focus Image

scholarly journals Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm

2014 ◽  
Vol 14 (2) ◽  
pp. 102-108 ◽  
Author(s):  
Yong Yang ◽  
Shuying Huang ◽  
Junfeng Gao ◽  
Zhongsheng Qian
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Discrete Wavelet Transform ◽  
High Frequency ◽  
Low Frequency ◽  
Objective Evaluation ◽  
Discrete Wavelet ◽  
Evaluation Indexes ◽  
Fused Image ◽  
Focus Image

Abstract In this paper, by considering the main objective of multi-focus image fusion and the physical meaning of wavelet coefficients, a discrete wavelet transform (DWT) based fusion technique with a novel coefficients selection algorithm is presented. After the source images are decomposed by DWT, two different window-based fusion rules are separately employed to combine the low frequency and high frequency coefficients. In the method, the coefficients in the low frequency domain with maximum sharpness focus measure are selected as coefficients of the fused image, and a maximum neighboring energy based fusion scheme is proposed to select high frequency sub-bands coefficients. In order to guarantee the homogeneity of the resultant fused image, a consistency verification procedure is applied to the combined coefficients. The performance assessment of the proposed method was conducted in both synthetic and real multi-focus images. Experimental results demonstrate that the proposed method can achieve better visual quality and objective evaluation indexes than several existing fusion methods, thus being an effective multi-focus image fusion method.

Technology for multi-focus image fusion based on wavelet transform

2010 ◽  
Author(s):  
Yong-qing Chen ◽  
Lian-qing Chen ◽  
Hong-jie Gu ◽  
Kun Wang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Focus Image

Study on the Multi-Focus Image Fusion Based on Combined Opportunity Curvelet and Wavelet Transform

2012 ◽  
Vol 7 (18) ◽  
pp. 266-273
Author(s):  
Chen Xuefeng ◽  
Niu Lei
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Focus Image

scholarly journals Dual-Tree Complex Wavelet Transform and Image Block Residual-Based Multi-Focus Image Fusion in Visual Sensor Networks

Sensors ◽  
2014 ◽  
Vol 14 (12) ◽  
pp. 22408-22430 ◽  
Author(s):  
Yong Yang ◽  
Song Tong ◽  
Shuying Huang ◽  
Pan Lin
Keyword(s):  
Wavelet Transform ◽  
Sensor Networks ◽  
Image Fusion ◽  
Complex Wavelet Transform ◽  
Visual Sensor ◽  
Image Block ◽  
Visual Sensor Networks ◽  
Focus Image ◽  
Complex Wavelet

Multi-Focus Image Fusion Using Local Energy Pattern

2011 ◽  
Vol 145 ◽  
pp. 119-123
Author(s):  
Ko Chin Chang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Local Energy ◽  
View Point ◽  
Fusion Algorithm ◽  
Image Capture ◽  
Focus Image ◽  
Better Than

For general image capture device, it is difficult to obtain an image with every object in focus. To solve the fusion issue of multiple same view point images with different focal settings, a novel image fusion algorithm based on local energy pattern (LGP) is proposed in this paper. Firstly, each focus images is decomposed using discrete wavelet transform (DWT) separately. Secondly, to calculate LGP with the corresponding pixel and its surrounding pixels, then use LGP to compute the new coefficient of the pixel from each transformed images with our proposed weighted fusing rules. The rules use different operations in low-bands coefficients and high-bands coefficients. Finally, the generated image is reconstructed from the new subband coefficients. Moreover, the reconstructed image can represent more detailed for the obtained scene. Experimental results demonstrate that our scheme performs better than the traditional discrete cosine transform (DCT) and discrete wavelet transform (DWT) method in both visual perception and quantitative analysis.

Multi-focus image fusion using spatial frequency and discrete wavelet transform

2017 ◽  
Author(s):  
Wei Tan ◽  
Yue Yu ◽  
Juan Du ◽  
Hanlin Qin ◽  
Zhenhua Ma ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Spatial Frequency ◽  
Image Fusion ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Focus Image

Infrared and visible image fusion with spectral graph wavelet transform

2015 ◽  
Vol 32 (9) ◽  
pp. 1643 ◽  
Author(s):  
Xiang Yan ◽  
Hanlin Qin ◽  
Jia Li ◽  
Huixin Zhou ◽  
Jing-guo Zong
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Visible Image ◽  
Spectral Graph

scholarly journals A Novel Multi-Focus Image Fusion Method Based on Stationary Wavelet Transform and Local Features of Fuzzy Sets

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 20286-20302 ◽  
Author(s):  
Qian Jiang ◽  
Xin Jin ◽  
Shin-Jye Lee ◽  
Shaowen Yao
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Fuzzy Sets ◽  
Local Features ◽  
Fusion Method ◽  
Stationary Wavelet Transform ◽  
Focus Image ◽  
Image Fusion Method
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