Evidence map›Paper›PMID 33519179›Full record

ArticleArchives of computational methods in engineering : state of the art reviews2021

Image Fusion Techniques: A Survey.

Harpreet Kaur, Deepika Koundal, Virender Kadyan

Abstract read
In one paragraph

Article in Archives of computational methods in engineering : state of the art reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  16. A novel endoscopy image fusion system: combine white light imaging and compound band imaging.International journal of computer assisted radiology and surgery · 2024
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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

3 authors.

Harpreet KaurDepartment of Computer Science, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Deepika KoundalDepartment of Virtualization, School of Computer Science, University of Petroleum and Energy Studies, Bidholi, Dehradun, India.ORCID 0000-0003-1688-8772
Virender KadyanDepartment of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Bidholi, Dehradun, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The necessity of image fusion is growing in recently in image processing applications due to the tremendous amount of acquisition systems. Fusion of images is defined as an alignment of noteworthy Information from diverse sensors using various mathematical models to generate a single compound image. The fusion of images is used for integrating the complementary multi-temporal, multi-view and multi-sensor Information into a single image with improved image quality and by keeping the integrity of important features. It is considered as a vital pre-processing phase for several applications such as robot vision, aerial, satellite imaging, medical imaging, and a robot or vehicle guidance. In this paper, various state-of-art image fusion methods of diverse levels with their pros and cons, various spatial and transform based method with quality metrics and their applications in different domains have been discussed. Finally, this review has concluded various future directions for different applications of image fusion.

Identifiers

PMID33519179
PMCPMC7829034

What OpenQuestion holds

Textmetadata
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.