Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PAS-MEF: Multi-exposure image fusion based on principal component
  analysis, adaptive well-exposedness and saliency map   High dynamic range (HDR) imaging enables to immortalize natural scenes
similar to the way that they are perceived by human observers. With regular low
dynamic range (LDR) capture/display devices, significant details may not be
preserved in images due to the huge dynamic range of natural scenes. To
minimize the information loss and produce high quality HDR-like images for LDR
screens, this study proposes an efficient multi-exposure fusion (MEF) approach
with a simple yet effective weight extraction method relying on principal
component analysis, adaptive well-exposedness and saliency maps. These weight
maps are later refined through a guided filter and the fusion is carried out by
employing a pyramidal decomposition. Experimental comparisons with existing
techniques demonstrate that the proposed method produces very strong
statistical and visual results.

5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin