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Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain
Ming Lv1, Liangliang Li2, Qingxin Jin3
1College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Sensors (Basel, Switzerland)
|July 14, 2023
Summary
This study introduces a new multi-focus image fusion algorithm using distance-weighted regional energy and structure tensor. The novel approach enhances image clarity and information content in fused multi-focus images.
Area of Science:
- Computer Vision
- Image Processing
Background:
- Multi-focus image fusion aims to combine images with varying focal planes.
- Existing methods may struggle with preserving details and achieving high-quality fusion.
Purpose of the Study:
- To develop an advanced multi-focus image fusion algorithm.
- To improve the clarity and information content of fused images.
Main Methods:
- Utilized non-subsampled contourlet transform domain for fusion.
- Employed distance-weighted regional energy for low-frequency components.
- Applied structure tensor for high-frequency components fusion.
- Integrated fused sub-bands using inverse non-subsampled contourlet transform.
Main Results:
- The proposed algorithm demonstrated significant advantages over existing advanced methods.
- Experimental results on the Lytro dataset showed superior performance.
- Generated fused images exhibited enhanced clarity and richer information.
Conclusions:
- The developed algorithm effectively fuses multi-focus images.
- The method offers a promising approach for high-quality image fusion applications.
Keywords:
distance-weighted regional energyimage fusionmulti-focus imagenon-subsampled contourlet transformstructure tensorMore Related Videos
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