Weakly differentiable functions
Weakly differentiable functions
Machine Vision and Applications
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Probabilistic image sensor fusion
Proceedings of the 1998 conference on Advances in neural information processing systems II
Multimodal Image Fusion for Noninvasive Epilepsy Surgery Planning
IEEE Computer Graphics and Applications
Total Variation Models for Variable Lighting Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Variational image segmentation using boundary functions
IEEE Transactions on Image Processing
Image restoration subject to a total variation constraint
IEEE Transactions on Image Processing
EURASIP Journal on Advances in Signal Processing - Special issue on theory and application of general linear image processing
A non-reference image fusion metric based on mutual information of image features
Computers and Electrical Engineering
Poisson image fusion based on Markov random field fusion model
Information Fusion
A Bayesian approach to visualization-oriented hyperspectral image fusion
Information Fusion
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In this paper, a total variation (TV) based approach is proposed for pixel-level fusion to fuse images acquired using multiple sensors. In this approach, fusion is posed as an inverse problem and a locally affine model is used as the forward model. A TV seminorm based approach in conjunction with principal component analysis is used iteratively to estimate the fused image. The feasibility of the proposed algorithm is demonstrated on images from computed tomography (CT) and magnetic resonance imaging (MRI) as well as visible-band and infrared sensors. The results clearly indicate the feasibility of the proposed approach.