A survey of image registration techniques
ACM Computing Surveys (CSUR)
Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multisensor for Computer Vision
Multisensor for Computer Vision
Cloud covering denoising through image fusion
Image and Vision Computing
Fusion of multi-exposure images
Image and Vision Computing
Fusing images with different focuses using support vector machines
IEEE Transactions on Neural Networks
A Novel Multimodality Image Fusion Method Using Region Consistency Rule
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
A Novel Hybrid Pansharpening Method Using Contourlet Transform
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
A novel region based image fusion method using highboost filtering
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
The direct use of curvelets in multifocus fusion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Medical image fusion via an effective wavelet-based approach
EURASIP Journal on Advances in Signal Processing
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
Photo-consistent synthesis of motion blur and depth-of-field effects with a real camera model
Image and Vision Computing
Image matting for fusion of multi-focus images in dynamic scenes
Information Fusion
Mutual spectral residual approach for multifocus image fusion
Digital Signal Processing
Regional and Entropy component analysis based remote sensing images fusion
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Image fusion is a process of combining complementary information from multiple images of the same scene into an image, so that the resultant image contains a more accurate description of the scene than any of the individual source images. In this paper, a new region-based multifocus image fusion method is proposed. The motivation of our proposed method lies in the fact that region-based image fusion methods could be more meaningful than pixel-based fusion methods which just consider individual pixels or associated local neighborhoods of pixels in the fusion process. The fusion process contains the following steps: firstly, multifocus images are fused using the simple average method. Then the intermediate fused image is segmented using the normalized cut method. Then the two source images are segmented according to the segmenting result of the intermediate fused image. Finally, the corresponding segmented regions of the source images are fused according to their spatial frequencies. Experimental results on several pairs of multi-focus image show that the proposed method can give good results. The proposed method is more robust to misregistration or slight motion of the object than the pixel-based method.