Evidence map›Paper›PMID 37447984›Full record

ArticleSensors (Basel, Switzerland)2023

Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain.

Ming Lv, Liangliang Li, Qingxin Jin, Zhenhong Jia, Liangfu Chen, Hongbing Ma

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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.

Ming LvCollege of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Liangliang LiSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-7354-7494
Qingxin JinSchool of Mechanical Engineering, Guangxi University, Nanning 530004, China.
Zhenhong JiaCollege of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Liangfu ChenState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Hongbing MaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-1785-4024

Funding

the Cross-Media Intelligent Technology Project of Beijing National Research Center for Information Science and Technology (BNRist) BNR2019TD01022the National Science Foundation of China 62261053 and U1803261the Shanghai Aerospace Science and Technology Innovation Fund SAST2019-048
6 · The paper itself

Abstract

In this paper, a multi-focus image fusion algorithm via the distance-weighted regional energy and structure tensor in non-subsampled contourlet transform domain is introduced. The distance-weighted regional energy-based fusion rule was used to deal with low-frequency components, and the structure tensor-based fusion rule was used to process high-frequency components; fused sub-bands were integrated with the inverse non-subsampled contourlet transform, and a fused multi-focus image was generated. We conducted a series of simulations and experiments on the multi-focus image public dataset Lytro; the experimental results of 20 sets of data show that our algorithm has significant advantages compared to advanced algorithms and that it can produce clearer and more informative multi-focus fusion images.

Indexed as

AlgorithmsImage Processing, Computer-AssistedPhysical Phenomenadistance-weighted regional energyimage fusionmulti-focus imagenon-subsampled contourlet transformstructure tensor

Identifiers

PMID37447984
PMCPMC10346789

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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.