Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-Adaptively Learning to Demoire from Focused and Defocused Image
  Pairs   Moire artifacts are common in digital photography, resulting from the
interference between high-frequency scene content and the color filter array of
the camera. Existing deep learning-based demoireing methods trained on large
scale datasets are limited in handling various complex moire patterns, and
mainly focus on demoireing of photos taken of digital displays. Moreover,
obtaining moire-free ground-truth in natural scenes is difficult but needed for
training. In this paper, we propose a self-adaptive learning method for
demoireing a high-frequency image, with the help of an additional defocused
moire-free blur image. Given an image degraded with moire artifacts and a
moire-free blur image, our network predicts a moire-free clean image and a blur
kernel with a self-adaptive strategy that does not require an explicit training
stage, instead performing test-time adaptation. Our model has two sub-networks
and works iteratively. During each iteration, one sub-network takes the moire
image as input, removing moire patterns and restoring image details, and the
other sub-network estimates the blur kernel from the blur image. The two
sub-networks are jointly optimized. Extensive experiments demonstrate that our
method outperforms state-of-the-art methods and can produce high-quality
demoired results. It can generalize well to the task of removing moire
artifacts caused by display screens. In addition, we build a new moire dataset,
including images with screen and texture moire artifacts. As far as we know,
this is the first dataset with real texture moire patterns.

37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
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The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat