Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of
  Retinal OCT Data   Optical coherence tomography (OCT) enables high-resolution and non-invasive
3D imaging of the human retina but is inherently impaired by speckle noise.
This paper introduces a spatio-temporal denoising algorithm for OCT data on a
B-scan level using a novel quantile sparse image (QuaSI) prior. To remove
speckle noise while preserving image structures of diagnostic relevance, we
implement our QuaSI prior via median filter regularization coupled with a Huber
data fidelity model in a variational approach. For efficient energy
minimization, we develop an alternating direction method of multipliers (ADMM)
scheme using a linearization of median filtering. Our spatio-temporal method
can handle both, denoising of single B-scans and temporally consecutive
B-scans, to gain volumetric OCT data with enhanced signal-to-noise ratio. Our
algorithm based on 4 B-scans only achieved comparable performance to averaging
13 B-scans and outperformed other current denoising methods.

8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg