Integrated Analysis of Thermal and Visual Images for Scene Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
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
A new region matching method for stereoscopic images
Pattern Recognition Letters
Multimodal Image Fusion for Noninvasive Epilepsy Surgery Planning
IEEE Computer Graphics and Applications
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image fusion using steerable dyadic wavelet transform
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
Fusion of multi-exposure images
Image and Vision Computing
An invariant, closed-from solution for matching sets of 3D lines
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Matching Images to Models for Registration and Object Detection via Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching Using Relaxation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient-based multiresolution image fusion
IEEE Transactions on Image Processing
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Modeling of 3D Scene Based on Series of Photographs Taken with Different Depth-of-Field
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
A fusion-based approach to digital movie restoration
Pattern Recognition
Multiview RT3D Echocardiography Image Fusion
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
A New Image Fusion Method for Estimating 3D Surface Depth
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Object Recognition by Permanence of Ratios Based Fusion and Gaussian Bayes Decision
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
MRI and PET image fusion by combining IHS and retina-inspired models
Information Fusion
Photography image enhancement by image fusion
Annales UMCS, Informatica
A pixel-level image fusion framework based on structural similarity
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Color image dehazing using the near-infrared
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Pixel-level image fusion with simultaneous orthogonal matching pursuit
Information Fusion
A non-reference image fusion metric based on mutual information of image features
Computers and Electrical Engineering
Multi-focus image fusion for visual sensor networks in DCT domain
Computers and Electrical Engineering
A regional image fusion based on similarity characteristics
Signal Processing
Beyond stereo: an exploration of unconventional binocular presentation for novel visual experience
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The multifocus imaging technique in petrology
Computers & Geosciences
Edge preserving image fusion based on contourlet transform
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
OMP or BP? a comparison study of image fusion based on joint sparse representation
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Image matting for fusion of multi-focus images in dynamic scenes
Information Fusion
Simultaneous image fusion and super-resolution using sparse representation
Information Fusion
Mutual spectral residual approach for multifocus image fusion
Digital Signal Processing
A Bayesian approach to visualization-oriented hyperspectral image fusion
Information Fusion
FIF: A fuzzy information fusion algorithm based on multi-criteria decision making
Knowledge-Based Systems
Information Sciences: an International Journal
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Image fusion is the process of combining information from two or more images of a scene into a single composite image that is more informative and is more suitable for visual perception or computer processing. The objective in image fusion is to reduce uncertainty and minimize redundancy in the output while maximizing relevant information particular to an application or task. Given the same set of input images, different fused images may be created depending on the specific application and what is considered relevant information. There are several benefits in using image fusion: wider spatial and temporal coverage, decreased uncertainty, improved reliability, and increased robustness of system performance. Often a single sensor cannot produce a complete representation of a scene. Visible images provide spectral and spatial details, and if a target has the same color and spatial characteristics as its background, it cannot be distinguished from the background. If visible images are fused with thermal images, a target that is warmer or colder than its background can be easily identified, even when its color and spatial details are similar to those of its background. Fused images can provide information that sometimes cannot be observed in the individual input images. Successful image fusion significantly reduces the amount of data to be viewed or processed without significantly reducing the amount of relevant information.