Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
On Advances in Statistical Modeling of Natural Images
Journal of Mathematical Imaging and Vision
Multifocus image fusion using artificial neural networks
Pattern Recognition Letters
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Evaluation of focus measures in multi-focus image fusion
Pattern Recognition Letters
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Pixel-based and region-based image fusion schemes using ICA bases
Information Fusion
Multifocus Image Fusion Algorithm Based on Contourlet Decomposition and Region Statistics
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Multifocus image fusion using region segmentation and spatial frequency
Image and Vision Computing
Efficient fusion scheme for multi-focus images by using blurring measure
Digital Signal Processing
Fusion of multi-focus images using differential evolution algorithm
Expert Systems with Applications: An International Journal
Real time human visual system based framework for image fusion
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Multi-focus image fusion for visual sensor networks in DCT domain
Computers and Electrical Engineering
Gradient-based multiresolution image fusion
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
IEEE Transactions on Image Processing
Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
SVD Filter Based Multiscale Approach for Image Quality Assessment
ICMEW '12 Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops
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Multifocus image fusion is the process of obtaining a single image from multiple partially focused images such that the newly formed image consists of the well-defined information extracted from each source image. This paper proposes the use of saliency of the source images based on Mutual Spectral Residual. Spectral Residual brings out the unique/salient features of an image in frequency domain. The idea of proposed mutual spectral residual is to emphasize the relative unique features of a source image with respect to the other source images. The relative unique features are utilized to form saliency maps for each source image. These saliency maps can clearly indicate the focused and defocused parts of an image. Based on the saliency maps obtained, the image fusion takes place in spatial domain. Visual inspection and quantitative evaluation of the fused images obtained by the proposed method, using different evaluation metrics, demonstrate its effectiveness over several existing image fusion methods.