Image fusion based on pixel significance using cross bilateral filter

Like bilateral filter (BF), cross bilateral filter (CBF) considers both gray-level similarities and geometric closeness of the neighboring pixels without smoothing edges, but it uses one image for finding the kernel and other to filter, and vice versa. In this paper, it is proposed to fuse source im...

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Bibliographic Details
Published inSignal, image and video processing Vol. 9; no. 5; pp. 1193 - 1204
Main Author Shreyamsha Kumar, B. K.
Format Journal Article
LanguageEnglish
Published London Springer London 01.07.2015
Subjects
Computer Imaging
Computer Science
Image Processing and Computer Vision
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Signal,Image and Speech Processing
Vision
Multifocus
Multisensor
Bilateral filter
Detail strength
Pixel significance
Cross bilateral filter
Detail image
Image fusion
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Summary:Like bilateral filter (BF), cross bilateral filter (CBF) considers both gray-level similarities and geometric closeness of the neighboring pixels without smoothing edges, but it uses one image for finding the kernel and other to filter, and vice versa. In this paper, it is proposed to fuse source images by weighted average using the weights computed from the detail images that are extracted from the source images using CBF. The performance of the proposed method has been verified on several pairs of multisensor and multifocus images and compared with the existing methods visually and quantitatively. It is found that, none of the methods have shown consistence performance for all the performance metrics. But as compared to them, the proposed method has shown good performance in most of the cases. Further, the visual quality of the fused image by the proposed method is superior to other methods.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-013-0556-9