Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Infrared and visible image fusion based on Multi-State Contextual Hidden
  Markov Model   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. To this end, an accurate soft context variable is designed
correspondingly from the perspective of context correlation. Then, the
statistical features provided by MCHMM are utilized for the fusion of high
frequency subbands. To ensure the visual quality, a fusion strategy based on
the difference in regional energy is proposed as well for lowfrequency
subbands. Experimental results demonstrate that the proposed method can achieve
a superior performance compared with other fusion methods in both subjective
and objective aspects.

18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math