Image processing and data analysis: the multiscale approach
Image processing and data analysis: the multiscale approach
A new directional filter bank for image analysis and classification
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Multiresolution direction filterbanks: theory, design, and applications
IEEE Transactions on Signal Processing - Part I
Wavelet-based image denoising using a Markov random field a priori model
IEEE Transactions on Image Processing
Improved structures of maximally decimated directional filter Banks for spatial image analysis
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
Two improvement schemes of PAN modulation fusion methods for spectral distortion minimization
International Journal of Remote Sensing
Super Resolution of Multispectral Images using l1 Image Models and Interband Correlations
Journal of Signal Processing Systems
| Hi-index | 0.00 |
This paper proposes a new fusion method that permits an adequate selection of information extracted from source images to obtain fused images with good spatial and spectral quality simultaneously. This method is based on a joint multiresolution multidirectional representation of the source images using a single directional spatial frequency low pass filter bank of low computational complexity, defined in the Fourier domain. The source images correspond to those captured by the IKONOS satellite (panchromatic and multispectral). The results obtained indicate that the proposed method provides, in a simple manner, objective control over the trade-off between high spatial and spectral quality of the fused images.