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Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model. (arXiv:2201.10739v1 [cs.CV])
Jan. 27, 2022, 2:10 a.m. | Xiaoqing Luo, Yuting Jiang, Anqi Wang, Zhancheng Zhang, Xiao-Jun Wu
cs.CV updates on arXiv.org arxiv.org
The traditional two-state hidden Markov model divides the high frequency
coefficients only into two states (large and small states). Such scheme is
prone to produce an inaccurate statistical model for the high frequency subband
and reduces the quality of fusion result. In this paper, a fine-grained
multi-state contextual hidden Markov model (MCHMM) is proposed for infrared and
visible image fusion in the non-subsampled Shearlet domain, which takes full
consideration of the strong correlations and level of details of NSST
coefficients. …
More from arxiv.org / cs.CV updates on arXiv.org
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