| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 407237 | Neurocomputing | 2013 | 7 Pages |
Abstract
Shearlet was proposed in 2005. With flexible direction features and a multi-resolution structure which is similar to wavelet, the application of Shearlet in image processing has been developing. In this paper, based on Shearlets and PCNN, a new algorithm of image fusion is proposed. A shear matrix is used to decompose the source images into several directions. To each direction, we extract the gradient characteristics, make multi-scale decomposition using wavelet, and fuse the high frequency coefficients using PCNN. Experiments show that the algorithm we proposed is effective to image fusion.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shi Cheng, Miao Qiguang, Xu Pengfei,