JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering |
| 영문제목(English Title) |
Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering |
| 저자(Author) |
Ying Yuan
Jun-Ho Huh
Xin Feng
Kaiqun Hu
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| 원문수록처(Citation) |
VOL 15 NO. 06 PP. 1296 ~ 1305 (2019. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailed information in current fusion methods, an infrared and visible light image fusion method based on variational multiscale decomposition is proposed. Firstly, the fused images are separately processed through variational multiscale decomposition to obtain texture components and structural components. The method of guided filter is used to carry out the fusion of the texture components of the fused image. In the structural component fusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightness comprehensive information. Finally, the texture components of the two images are fused. The structure components are added to obtain the final fused image. The experimental results show that the proposed method displays very good noise robustness, and it also helps realize better fusion quality.
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| 키워드(Keyword) |
Apparel Pattern
Application (App)
Color Pattern
Customer Engaged Platform
Digital Printing
Merge Digital Apparel Pattern
Image Fusion
Guided Filter
Phase Consistency
Variational Multiscale Decomposition
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| 파일첨부 |
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