Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MantissaCam: Learning Snapshot High-dynamic-range Imaging with
  Perceptually-based In-pixel Irradiance Encoding   The ability to image high-dynamic-range (HDR) scenes is crucial in many
computer vision applications. The dynamic range of conventional sensors,
however, is fundamentally limited by their well capacity, resulting in
saturation of bright scene parts. To overcome this limitation, emerging sensors
offer in-pixel processing capabilities to encode the incident irradiance. Among
the most promising encoding schemes is modulo wrapping, which results in a
computational photography problem where the HDR scene is computed by an
irradiance unwrapping algorithm from the wrapped low-dynamic-range (LDR) sensor
image. Here, we design a neural network--based algorithm that outperforms
previous irradiance unwrapping methods and we design a perceptually inspired
"mantissa" encoding scheme that more efficiently wraps an HDR scene into an LDR
sensor. Combined with our reconstruction framework, MantissaCam achieves
state-of-the-art results among modulo-type snapshot HDR imaging approaches. We
demonstrate the efficacy of our method in simulation and show benefits of our
algorithm on modulo images captured with a prototype implemented with a
programmable sensor.

37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci