Name
Abstract | ||
|---|---|---|
Like bilateral filter, cross bilateral filter 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 cross bilateral filter. 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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s11760-013-0556-9 | Signal, Image and Video Processing |
Keywords | Field | DocType |
Image fusion, Pixel significance, Multifocus, Multisensor, Bilateral filter, Cross bilateral filter, Detail image, Detail strength | Kernel (linear algebra),Computer vision,Image fusion,Pattern recognition,Closeness,Smoothing,Artificial intelligence,Pixel,Fuse (electrical),Bilateral filter,Versa,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 5 | 1863-1711 |
Citations | PageRank | References |
24 | 0.74 | 22 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. K. ShreyamshaKumar | 1 | 99 | 7.66 |