Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayer Demosaicking Using Optimized Mean Curvature over RGB channels   Color artifacts of demosaicked images are often found at contours due to
interpolation across edges and cross-channel aliasing. To tackle this problem,
we propose a novel demosaicking method to reliably reconstruct color channels
of a Bayer image based on two different optimized mean-curvature (MC) models.
The missing pixel values in green (G) channel are first estimated by minimizing
a variational MC model. The curvatures of restored G-image surface are
approximated as a linear MC model which guides the initial reconstruction of
red (R) and blue (B) channels. Then a refinement process is performed to
interpolate accurate full-resolution R and B images. Experiments on benchmark
images have testified to the superiority of the proposed method in terms of
both the objective and subjective quality.

10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
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The categories of this paper are: nlin
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci