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

scholarly journals Hybrid Multi-Focus Image Fusion using Stationary Wavelet Transform and Focus Measures for Visual Sensor Networks

2019 ◽  
Vol 8 (4) ◽  
pp. 3765-3769
Keyword(s):  
Wavelet Transform ◽  
Sensor Networks ◽  
Image Fusion ◽  
Discrete Wavelet ◽  
Stationary Wavelet Transform ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Fused Image ◽  
Fusion Methods ◽  
Focus Image

The Multifocal image fusion objective in visual sensor networks is to combine the multi-focused images of the same scene into a focused fused image with improved reliability and interpretation. However, the existing discrete wavelet-based fusion algorithms lead artifacts into the fused image due to its shift variance. But shift invariance is essential in image fusion during the reconstruction of the fused image without any loss. The Stationary Wavelet Transform is one of the most precious ones, eliminating shift variance caused by the discrete wavelet transform. And also focus measures are essential for the selection of focused objects in multi-focused images in order to get a fused image with every object in focus. Thus the advantages of Stationary wavelet transform and focus measures are considered for fusion in this paper. The proposed fusion method not only produces a focused fused image without artifacts and its performance is also good compared to other fusion methods.

scholarly journals Color multi-focus image fusion algorithm based on fuzzy theory and dual-tree complex wavelet transform

2017 ◽  
Vol 11 (2) ◽  
pp. 163-169 ◽  
Author(s):  
Yan Sun ◽  
Ling Jiang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Color Image ◽  
Fuzzy Theory ◽  
Color Space ◽  
Weighted Average ◽  
Complex Wavelet Transform ◽  
Fusion Algorithm ◽  
Focus Image ◽  
Complex Wavelet

This paper puts forward a new color multi-focus image fusion algorithm based on fuzzy theory and dual-tree complex wavelet transform for the purpose of removing uncertainty when choosing sub-band coefficients in the smooth regions. Luminance component is the weighted average of the three color channels in the IHS color space and it is not sensitive to noise. According to the characteristics, luminance component was chosen as the measurement to calculate the focus degree. After separating the luminance component and spectrum component, Fisher classification and fuzzy theory were chosen as the fusion rules to conduct the choice of the coefficients after the dual-tree complex wavelet transform. So fusion color image could keep the natural color information as much as possible. This method could solve the problem of color distortion in the traditional algorithms. According to the simulation results, the proposed algorithm obtained better visual effects and objective quantitative indicators.

Multi-focus image fusion for visual sensor networks in DCT domain

2011 ◽  
Vol 37 (5) ◽  
pp. 789-797 ◽  
Author(s):  
Mohammad Bagher Akbari Haghighat ◽  
Ali Aghagolzadeh ◽  
Hadi Seyedarabi
Keyword(s):  
Sensor Networks ◽  
Image Fusion ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Dct Domain ◽  
Focus Image
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