Image fusion by combining SWT and variational model
- 1 October 2011
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2011 4th International Congress on Image and Signal Processing
- Vol. 4, 1907-1910
- https://doi.org/10.1109/cisp.2011.6100633
Abstract
A new model is presented to perform image fusion by combining discrete stationary wavelet transform (SWT) and the variational approach. After the input images are decomposed with SWT, the approximate and detail coefficients of the fused image are chosen with the variational model considering the fusion requirements such as the spatial quality improvement or structural similarity preserving. The gradient descent flow is applied for the optimization solution of the variational model. The method is compared with the wavelet-based, SWT-based and contourlet-based fusion models visually and quantitatively. Experimental results demonstrate that this model can achieve the prospective results.Keywords
This publication has 14 references indexed in Scilit:
- Bayesian super-resolution pansharpening using contourletsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Hybrid Multiresolution Method for Multisensor Multimodal Image FusionIEEE Sensors Journal, 2010
- A Total Variation-Based Algorithm for Pixel-Level Image FusionIEEE Transactions on Image Processing, 2009
- Image Fusion for Enhanced Visualization: A Variational ApproachInternational Journal of Computer Vision, 2009
- Variational Models for Fusion and Denoising of Multifocus ImagesIEEE Signal Processing Letters, 2008
- A comparative analysis of image fusion methodsIEEE Transactions on Geoscience and Remote Sensing, 2005
- Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decompositionIEEE Transactions on Geoscience and Remote Sensing, 2004
- Image Quality Assessment: From Error Visibility to Structural SimilarityIEEE Transactions on Image Processing, 2004
- A universal image quality indexIEEE Signal Processing Letters, 2002
- Multiresolution-based image fusion with additive wavelet decompositionIEEE Transactions on Geoscience and Remote Sensing, 1999