Evidence map›Paper›PMID 36560044›Full record

ArticleSensors (Basel, Switzerland)2022

Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing.

Miao Xu, Chao Wang, Kaikai Wang, Haodong Shi, Yingchao Li, Huilin Jiang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Miao XuSchool of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Chao WangSchool of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Kaikai WangSchool of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Haodong ShiSchool of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Yingchao LiSchool of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Huilin JiangSchool of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.

Funding

National Natural Science Foundation of China 61805028, 61805027, 61890960Natural Science Foundation of Jilin Province YDZJ202201ZYTS411
6 · The paper itself

Abstract

The division of focal plane (DoFP) polarization imaging sensors, which can simultaneously acquire the target's two-dimensional spatial information and polarization information, improves the detection resolution and recognition capability by capturing the difference in polarization characteristics between the target and the background. In this paper, we propose a novel polarization imaging method based on deep compressed sensing (DCS) by adding digital micromirror devices (DMD) to an optical system and simulating the polarization transmission model of the optical system to reconstruct high-resolution images under low sampling rate conditions. By building a simulated dataset, training a polarization super-resolution imaging network, and showing excellent reconstructions on real shooting scenes, compared to current algorithms, our model has a higher peak signal-to-noise ratio (PSNR), which validates the feasibility of our approach.

Indexed as

deep compressed sensingpolarization imagingsuper-resolution

Identifiers

PMID36560044
PMCPMC9783235

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.