Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Remote Sensing, Third Edition: Models and Methods for Image Processing
Remote Sensing, Third Edition: Models and Methods for Image Processing
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Pixel- and region-based image fusion with complex wavelets
Information Fusion
A fast approach for fusion of hyperspectral images through redundancy elimination
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Divergence measures based on the Shannon entropy
IEEE Transactions on Information Theory
Multispectral image visualization through first-order fusion
IEEE Transactions on Image Processing
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
A Bayesian approach to visualization-oriented hyperspectral image fusion
Information Fusion
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In recent years, several image fusion techniques have been proposed to cater to various objectives. An appropriate visualization of the data is one of the key objectives of image fusion, particularly in case of hyperspectral images where the number of bands are far more than those can be displayed on standard tristimulus display. While a few techniques that address the issue of visualization of hyperspectral data can be seen in the literature, the evaluation of performances of these different techniques is still an open problem. In this paper, we first introduce a notion called fusion consistency and we suggest that the fusion techniques should satisfy the consistency criterion under appropriate measures that evaluate the fusion performance. We also propose several modifications for a number of existing measures that can quantify the progression of fusion operation efficiently for the fusion of a large number of image bands. We use these observations to validate suitability of any given technique for fusion of hyperspectral images.