Machine Vision and Applications
Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Fast median and bilateral filtering
ACM SIGGRAPH 2006 Papers
Objectively adaptive image fusion
Information Fusion
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Pixel- and region-based image fusion with complex wavelets
Information Fusion
Remote sensing image fusion using the curvelet transform
Information Fusion
Multiscale shape and detail enhancement from multi-light image collections
ACM SIGGRAPH 2007 papers
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Cognitively-engineered multisensor image fusion for military applications
Information Fusion
Image fusion based on a new contourlet packet
Information Fusion
Non-parametric and region-based image fusion with Bootstrap sampling
Information Fusion
Towards cognitive image fusion
Information Fusion
MRI and PET image fusion by combining IHS and retina-inspired models
Information Fusion
Biological image fusion using a NSCT based variable-weight method
Information Fusion
A filter bank for the directional decomposition of images: theoryand design
IEEE Transactions on Signal Processing
A Class of Multiresolution Directional Filter Banks
IEEE Transactions on Signal Processing
Gradient-based multiresolution image fusion
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
IEEE Transactions on Image Processing
Multisensor video fusion based on spatial-temporal salience detection
Signal Processing
Hi-index | 0.00 |
In this paper, a novel multiscale geometrical analysis called the multiscale directional bilateral filter (MDBF) which introduces the nonsubsampled directional filter bank into the multiscale bilateral filter is proposed. Through combining the characteristic of preserving edge of the bilateral filter with the ability of capturing directional information of the directional filter bank, the MDBF can better represent the intrinsic geometrical structure of images. The MDBF, which is a multiscale, multidirectional and shift-invariant image decomposition scheme, is used to fuse multisensor images in this paper. The source images are first decomposed into the directional detail subbands and the approximation subbands via the MDBF. Then, the directional detail subbands and the approximation subbands are fused according to the given fusion rule, respectively. Finally, the inverse MDBF is applied to the fused subbands to obtain the fused image. Experimental results over visible and infrared images and medical images demonstrate the superiority of our method compared with conventional methods in terms of visual inspection and objective measures.