Gradient-Based Multiresolution Image Fusion
Top Cited Papers
- 30 March 2004
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 13 (2), 228-237
- https://doi.org/10.1109/tip.2004.823821
Abstract
A novel approach to multiresolution signal-level image fusion is presented for accurately transferring visual information from any number of input image signals, into a single fused image without loss of information or the introduction of distortion. The proposed system uses a "fuse-then-decompose" technique realized through a novel, fusion/decomposition system architecture. In particular, information fusion is performed on a multiresolution gradient map representation domain of image signal information. At each resolution, input images are represented as gradient maps and combined to produce new, fused gradient maps. Fused gradient map signals are processed, using gradient filters derived from high-pass quadrature mirror filters to yield a fused multiresolution pyramid representation. The fused output image is obtained by applying, on the fused pyramid, a reconstruction process that is analogous to that of conventional discrete wavelet transform. This new gradient fusion significantly reduces the amount of distortion artefacts and the loss of contrast information usually observed in fused images obtained from conventional multiresolution fusion schemes. This is because fusion in the gradient map domain significantly improves the reliability of the feature selection and information fusion processes. Fusion performance is evaluated through informal visual inspection and subjective psychometric preference tests, as well as objective fusion performance measurements. Results clearly demonstrate the superiority of this new approach when compared to conventional fusion systems.Keywords
This publication has 21 references indexed in Scilit:
- A filter family designed for use in quadrature mirror filter banksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Wavelets and image fusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multispectral image fusion and merging using multiscale fundamental formsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multiscale edge representation applied to image fusionPublished by SPIE-Intl Soc Optical Eng ,2000
- A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera applicationProceedings of the IEEE, 1999
- Cross-band pixel selection in multiresolution image fusionPublished by SPIE-Intl Soc Optical Eng ,1999
- The Perception of Visual InformationPublished by Springer Science and Business Media LLC ,1997
- Multisensor Image Fusion Using the Wavelet TransformGraphical Models and Image Processing, 1995
- Hierarchical image fusionMachine Vision and Applications, 1990
- The Pyramid as a Structure for Efficient ComputationPublished by Springer Science and Business Media LLC ,1984