A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
Objectively adaptive image fusion
Information Fusion
Subjective tests for image fusion evaluation and objective metric validation
Information Fusion
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
Background-subtraction using contour-based fusion of thermal and visible imagery
Computer Vision and Image Understanding
Portrait beautification: A fast and robust approach
Image and Vision Computing
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
IEEE Transactions on Visualization and Computer Graphics
Multifocus image fusion using the nonsubsampled contourlet transform
Signal Processing
Multi-sensor image fusion using subband decomposed multiscale retinex
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
Similarity-based multimodality image fusion with shiftable complex directional pyramid
Pattern Recognition Letters
Pixel-level image fusion with simultaneous orthogonal matching pursuit
Information Fusion
A contourlet transform based fusion algorithm for nighttime driving image
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Image merging based on perceptual information
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Infrared and visible image fusion using fuzzy logic and population-based optimization
Applied Soft Computing
Human visual system inspired multi-modal medical image fusion framework
Expert Systems with Applications: An International Journal
Image matting for fusion of multi-focus images in dynamic scenes
Information Fusion
Poisson image fusion based on Markov random field fusion model
Information Fusion
Mutual spectral residual approach for multifocus image fusion
Digital Signal Processing
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A novel approach to multiresolution signal-level image fusion is presented for accurately transferring visual information from any number of input image signals, into a single fused image without loss of information or the introduction of distortion. The proposed system uses a "fuse-then-decompose" technique realized through a novel, fusion/decomposition system architecture. In particular, information fusion is performed on a multiresolution gradient map representation domain of image signal information. At each resolution, input images are represented as gradient maps and combined to produce new, fused gradient maps. Fused gradient map signals are processed, using gradient filters derived from high-pass quadrature mirror filters to yield a fused multiresolution pyramid representation. The fused output image is obtained by applying, on the fused pyramid, a reconstruction process that is analogous to that of conventional discrete wavelet transform. This new gradient fusion significantly reduces the amount of distortion artefacts and the loss of contrast information usually observed in fused images obtained from conventional multiresolution fusion schemes. This is because fusion in the gradient map domain significantly improves the reliability of the feature selection and information fusion processes. Fusion performance is evaluated through informal visual inspection and subjective psychometric preference tests, as well as objective fusion performance measurements. Results clearly demonstrate the superiority of this new approach when compared to conventional fusion systems.