Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Vector quantization and signal compression
Vector quantization and signal compression
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data fusion in robotics and machine intelligence
Data fusion in robotics and machine intelligence
Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multivariate stable distributions: approximation, estimation, simulation and identification
A practical guide to heavy tails
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pixel- and region-based image fusion with complex wavelets
Information Fusion
Parameter estimation and blind channel identification in impulsivesignal environments
IEEE Transactions on Signal Processing
Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
IEEE Transactions on Multimedia
Estimation of generalized mixtures and its application in image segmentation
IEEE Transactions on Image Processing
Combined morphological-spectral unsupervised image segmentation
IEEE Transactions on Image Processing
Adaptive perceptual color-texture image segmentation
IEEE Transactions on Image Processing
An application of compressive sensing for image fusion
Proceedings of the ACM International Conference on Image and Video Retrieval
Statistical multisensor image segmentation in complex wavelet domains
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Infrared and visible image fusion using fuzzy logic and population-based optimization
Applied Soft Computing
Poisson image fusion based on Markov random field fusion model
Information Fusion
Fast saliency-aware multi-modality image fusion
Neurocomputing
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A novel region-based image fusion framework based on multiscale image segmentation and statistical feature extraction is proposed. A dual-tree complex wavelet transform (DT-CWT) and a statistical region merging algorithm are used to produce a region map of the source images. The input images are partitioned into meaningful regions containing salient information via symmetric alpha-stable (SαS) distributions. The region features are then modeled using bivariate alpha-stable (BαS) distributions, and the statistical measure of similarity between corresponding regions of the source images is calculated as the Kullback-Leibler distance (KLD) between the estimated BαS models. Finally, a segmentation-driven approach is used to fuse the images, region by region, in the complex wavelet domain. A novel decision method is introduced by considering the local statistical properties within the regions, which significantly improves the reliability of the feature selection and fusion processes. Simulation results demonstrate that the bivariate alpha-stable model outperforms the univariate alpha-stable and generalized Gaussian densities by not only capturing the heavy-tailed behavior of the subband marginal distribution, but also the strong statistical dependencies between wavelet coefficients at different scales. The experiments show that our algorithm achieves better performance in comparison with previously proposed pixel and region-level fusion approaches in both subjective and objective evaluation tests.