Tracking-Based Denoising: A Trilateral Filter-Based Denoiser for Real-World Surveillance Video in Extreme Low-Light Conditions.

He Jiang, Peilin Wu, Zhou Zheng, Hao Gu, Fudi Yi, Wen Cui, Chen Lv

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

He JiangSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-3345-9665

Peilin WuSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0009-0005-5277-0423

Zhou ZhengSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0009-0005-5588-5090

Hao GuSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0009-0002-7422-5803

Fudi YiSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0009-0002-8280-2519

Wen CuiSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0009-0004-4516-4313

Chen LvSchool of Software, Taiyuan University of Technology, Taiyuan 030024, China.ORCID 0000-0002-2079-9417

Funding

Graduate Innovation Program of China University of Mining and Technology 2024WLKXJ090National Key Research and Development Program of China 2023YFC2907600, 2021YFC2902701, 2021YFC2902702National Natural Science Foundation of China 52304182Open Fund of the Key Laboratory 580 of System Control and Information Processing of the Ministry of Education of China SCIP20240105Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX24_2778

6 · The paper itself

Abstract

Video denoising in extremely low-light surveillance scenarios is a challenging task in computer vision, as it suffers from harsh noise and insufficient signal to reconstruct fine details. The denoising algorithm for these scenarios encounters challenges such as the lack of

Indexed as

amplitude-phase filterlow lightsurveillance videotrilateral filtervideo denoising

Identifiers

PMID40942998

DOI10.3390/s25175567

PMCPMC12431109

What OpenQuestion holds

Textmetadata

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.