Multi-focus image fusion based on window empirical mode decomposition
Autor: | Gang Hu, Xinqiang Qin, Jiaoyue Zheng, Jiao Wang |
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Rok vydání: | 2017 |
Předmět: |
Image fusion
Fusion Pixel Computer science business.industry Mode (statistics) 020206 networking & telecommunications Pattern recognition 02 engineering and technology Function (mathematics) Condensed Matter Physics Atomic and Molecular Physics and Optics Hilbert–Huang transform Electronic Optical and Magnetic Materials Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Fusion rules 020201 artificial intelligence & image processing Artificial intelligence business |
Zdroj: | Infrared Physics & Technology. 85:251-260 |
ISSN: | 1350-4495 |
Popis: | In order to improve multi-focus image fusion quality, a novel fusion algorithm based on window empirical mode decomposition (WEMD) is proposed. This WEMD is an improved form of bidimensional empirical mode decomposition (BEMD), due to its decomposition process using the adding window principle, effectively resolving the signal concealment problem. We used WEMD for multi-focus image fusion, and formulated different fusion rules for bidimensional intrinsic mode function (BIMF) components and the residue component. For fusion of the BIMF components, the concept of the Sum-modified-Laplacian was used and a scheme based on the visual feature contrast adopted; when choosing the residue coefficients, a pixel value based on the local visibility was selected. We carried out four groups of multi-focus image fusion experiments and compared objective evaluation criteria with other three fusion methods. The experimental results show that the proposed fusion approach is effective and performs better at fusing multi-focus images than some traditional methods. |
Databáze: | OpenAIRE |
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