Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a
  Texture Sensitive Residual Network   This paper introduces a novel method to simultaneously super-resolve and
colour-predict images acquired by snapshot mosaic sensors. These sensors allow
for spectral images to be acquired using low-power, small form factor,
solid-state CMOS sensors that can operate at video frame rates without the need
for complex optical setups. Despite their desirable traits, their main drawback
stems from the fact that the spatial resolution of the imagery acquired by
these sensors is low. Moreover, chromatic mapping in snapshot mosaic sensors is
not straightforward since the bands delivered by the sensor tend to be narrow
and unevenly distributed across the range in which they operate. We tackle this
drawback as applied to chromatic mapping by using a residual channel attention
network equipped with a texture sensitive block. Our method significantly
outperforms the traditional approach of interpolating the image and,
afterwards, applying a colour matching function. This work establishes
state-of-the-art in this domain while also making available to the research
community a dataset containing 296 registered stereo multi-spectral/RGB images
pairs.

21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th