Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Sequence Fusion Using a Shift-Invariant Wavelet Transform
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Pixel- and region-based image fusion with complex wavelets
Information Fusion
A feature-based metric for the quantitative evaluation of pixel-level image fusion
Computer Vision and Image Understanding
Uniform discrete curvelet transform
IEEE Transactions on Signal Processing
Similarity-based multimodality image fusion with shiftable complex directional pyramid
Pattern Recognition Letters
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Multidimensional Directional Filter Banks and Surfacelets
IEEE Transactions on Image Processing
| Hi-index | 0.08 |
With three dimensional uniform discrete curvelet transform (3D-UDCT) and spatial-temporal structure tensor, a novel video fusion algorithm for videos with static background images is proposed in this paper. Firstly, the 3D-UDCT is employed to decompose source videos into many subbands with different scales and directions. Secondly, corresponding subbands of source videos are merged with different fusion schemes. Finally, the fused video is obtained by the reverse 3D-UDCT. Especially, when bandpass directional subband coefficients are merged, a spatial-temporal salience detection algorithm based on the structure tensor is performed. And each subband is divided into three types of regions, i.e., regions with temporal moving targets, regions with spatial features of background images, and smooth regions. Then different fusion rules are designed for each type of regions. Compared with some existing fusion methods, the proposed fusion algorithm can not only extract more spatial-temporal salient features from input videos but also perform better in spatial-temporal consistency. In addition, the proposed fusion algorithm can also be extended to fuse videos with dynamic background images by a simple modification. Several sets of experimental results demonstrate the feasibility and validity of the proposed fusion method.