A Novel Approach for Image Fusion Using Total Variation and Markov Random Field
نویسندگان
چکیده
In this paper, a novel approach based on total variation and markov random field is proposed for pixel-level image fusion. In the proposed approach, fusion is posed as an inverse problem and an image formation model is used as the forward model. Considering the spatial correlation of sensor selectivity factor, total variation (TV) and markov random field (MRF) model are employed to estimate the fused image. To evaluate the performance of the proposed approach, several types of multisensor images are used. The experimental results demonstrate that the proposed fusion approach provides superior performance.
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تاریخ انتشار 2012