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Topic · Media Technology

Advanced Image Fusion Techniques

Advanced Image Fusion Techniques is a research topic within Media Technology. Science Explorer counts 29k research works in it since 1952. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the fusion of multispectral and hyperspectral images using techniques such as wavelet transform, sparse representation, convolutional neural networks, and pansharpening. The research covers methods for remote sensing, image quality assessment, and applications in fields such as medical imaging.

  • Image Fusion
  • Multispectral
  • Hyperspectral
  • Wavelet Transform
  • Sparse Representation
  • Convolutional Neural Network
  • Pansharpening
  • Remote Sensing
  • Directional Transform
  • Quality Metric
Research works
29k
fractional, since 1952
In the world top 10%
2.8k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+40%
the tick is no change
Largest producer
China
74% of the 10 largest, 2022-now
Advanced Image Fusion Techniques

Which countries lead Advanced Image Fusion Techniques research?

By volume, China and India publish the most (5.6k and 988 works in 2022-now).

By volume, 2022-now

  1. 1 China 5.6k works
  2. 2 India 988 works
  3. 3 United States 308 works
  4. 4 South Korea 125 works
  5. 5 Russia 110 works
  6. 6 United Kingdom 101 works
  7. 7 France 100 works
  8. 8 Japan 91 works
  9. 9 Türkiye 84 works
  10. 10 ?? 81 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 73.7%India: 13.1%United States: 4.1%South Korea: 1.7%6 others listed: 7.5%74%largest
China5,575 · 73.7%India988 · 13.1%United States308 · 4.1%South Korea125 · 1.7%6 others listed567 · 7.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Advanced Image Fusion Techniques research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Image Fusion Techniques research, followed by Xidian University and Wuhan University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 256 works
  2. 2 Xidian UniversityChina 129 works
  3. 3 Wuhan UniversityChina 108 works
  4. 4 Northwestern Polytechnical UniversityChina 93 works
  5. 5 Beijing Institute of TechnologyChina 86 works
  6. 6 Nanjing University of Science and TechnologyChina 76 works
  7. 7 University of Electronic Science and Technology of ChinaChina 69 works
  8. 8 Harbin Institute of TechnologyChina 69 works
  9. 9 National University of Defense TechnologyChina 62 works
  10. 10 Beihang UniversityChina 55 works

Who are the leading researchers in Advanced Image Fusion Techniques?

The most-cited researchers publishing on Advanced Image Fusion Techniques include Kaiming He, Xiaogang Wang and Yann LeCun.

  1. 1 Kaiming He Israel 562k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Yann LeCun United States 256k citations
  4. 4 Li Fei-Fei United States 225k citations
  5. 5 Kai You Wang China 224k citations
  6. 6 Luc Van Gool Switzerland 177k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Advanced Image Fusion Techniques?

The most cited paper in Advanced Image Fusion Techniques is "Image quality assessment: from error visibility to structural similarity" (Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh et al., 2004), with 58,409 citations. Next come "A theory for multiresolution signal decomposition: the wavelet representation" (21,434) and "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" (9,395).

Most cited papers
#PaperReleasedCitations
1 Image quality assessment: from error visibility to structural similarity Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh et al. · IEEE Transactions on Image Processing Apr 2004 58,409
2 A theory for multiresolution signal decomposition: the wavelet representation Stéphane Mallat · IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 1989 21,434
3 Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering Kostadin Dabov, Alessandro Foi, Vladimir Y. Katkovnik et al. · IEEE Transactions on Image Processing Aug 2007 9,395
4 Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Kai Zhang, Wangmeng Zuo, Yunjin Chen et al. · IEEE Transactions on Image Processing Open access Feb 2017 9,223
5 Orthonormal bases of compactly supported wavelets Ingrid C. Daubechies · Communications on Pure and Applied Mathematics Oct 1988 8,242
All 99 most cited papers, with filters and sorting

Where is Advanced Image Fusion Techniques research done?

The largest centres of Advanced Image Fusion Techniques research in 2022-now are Beijing (China), Xi'an (China), Wuhan (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yantai and Xi'an.

Largest cities, 2022-now

  1. 1 BeijingChina 880 works
  2. 2 Xi'anChina 464 works
  3. 3 WuhanChina 332 works
  4. 4 NanjingChina 313 works
  5. 5 ShanghaiChina 265 works
  6. 6 ChengduChina 190 works
  7. 7 ChangshaChina 152 works
  8. 8 ChongqingChina 147 works
  9. 9 GuangzhouChina 147 works
  10. 10 HarbinChina 144 works

Where it is the local speciality

  1. YantaiCN · 43.1 works8.9×
  2. Xi'anCN · 463.5 works7.1×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Image Fusion Techniques than the world average.

See Advanced Image Fusion Techniques on the map

Where is the best place to study Advanced Image Fusion Techniques?

Among universities, judged by research, Wuhan University, Hunan University and Xidian University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%30%mean 20.83%fractional works in this field (log) →share of work in the world top 10% →Wuhan UniversityHunan UniversityNorthwestern Polytec…Xidian University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Wuhan UniversityChina 77.827.8%10.4×108 +14.4%
2Hunan UniversityChina 69.127.8%6.7×35 +53.2%
3Xidian UniversityChina 68.115.1%24.0×129 +19.0%
4Northwestern Polytechnical UniversityChina 66.318.1%11.1×94 +42.7%
5Dalian University of TechnologyChina 64.826.2%5.3×37 +63.8%
6Nanyang Technological UniversitySingapore 62.128.5%2.8×16 +72.1%
7Beijing Institute of TechnologyChina 61.914.7%9.8×86 +77.4%
8Hong Kong Polytechnic UniversityChina 59.924.7%2.5×16 +35.3%
9University of Electronic Science and Technology of ChinaChina 59.813.4%8.3×69 +39.3%
10Nanjing University of Science and TechnologyChina 58.812.0%12.7×76 +66.0%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Advanced Image Fusion Techniques, country by country

Is Advanced Image Fusion Techniques research growing?

Output in 2022-2025 was 40% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced Image Fusion Techniques.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Advanced Image Fusion Techniques as a percentage of every work published that year, 0.038% in 2024.

still counting0.020%0.040%Advanced Image Fusion Techniques0.037% in 202519801990200020102020

Fractional works of Advanced Image Fusion Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Advanced Image Fusion Techniques9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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