Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning to Adapt to Light   Light adaptation or brightness correction is a key step in improving the
contrast and visual appeal of an image. There are multiple light-related tasks
(for example, low-light enhancement and exposure correction) and previous
studies have mainly investigated these tasks individually. However, it is
interesting to consider whether these light-related tasks can be executed by a
unified model, especially considering that our visual system adapts to external
light in such way. In this study, we propose a biologically inspired method to
handle light-related image-enhancement tasks with a unified network (called
LA-Net). First, a frequency-based decomposition module is designed to decouple
the common and characteristic sub-problems of light-related tasks into two
pathways. Then, a new module is built inspired by biological visual adaptation
to achieve unified light adaptation in the low-frequency pathway. In addition,
noise suppression or detail enhancement is achieved effectively in the
high-frequency pathway regardless of the light levels. Extensive experiments on
three tasks -- low-light enhancement, exposure correction, and tone mapping --
demonstrate that the proposed method almost obtains state-of-the-art
performance compared with recent methods designed for these individual tasks.

11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin