Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Model-Based Single Image Deep Dehazing   Model-based single image dehazing algorithms restore images with sharp edges
and rich details at the expense of low PSNR values. Data-driven ones restore
images with high PSNR values but with low contrast, and even some remaining
haze. In this paper, a novel single image dehazing algorithm is introduced by
fusing model-based and data-driven approaches. Both transmission map and
atmospheric light are initialized by the model-based methods, and refined by
deep learning approaches which form a neural augmentation. Haze-free images are
restored by using the transmission map and atmospheric light. Experimental
results indicate that the proposed algorithm can remove haze well from
real-world and synthetic hazy images.

18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an