Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Smooth and iteratively Restore: A simple and fast edge-preserving
  smoothing model   In image processing, it can be a useful pre-processing step to smooth away
small structures, such as noise or unimportant details, while retaining the
overall structure of the image by keeping edges, which separate objects, sharp.
Typically this edge-preserving smoothing process is achieved using edge-aware
filters. However such filters may preserve unwanted small structures as well if
they contain edges. In this work we present a novel framework for
edge-preserving smoothing which separates the process into two different steps:
First the image is smoothed using a blurring filter and in the second step the
important edges are restored using a guided edge-aware filter. The presented
method proves to deliver very good results, compared to state-of-the-art
edge-preserving smoothing filters, especially at removing unwanted small
structures. Furthermore it is very versatile and can easily be adapted to
different fields of applications while at the same time being very fast to
compute and therefore well-suited for real time applications.

20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math