/image-fusion-zoo

all you need in image fusion area

image-fusion-zoo

1. Datasets

1.1 Infrared-Visible Data

  • IRICRA Thermal Infrared Dataset [download]

  • TNO_Image_Fusion_Dataset [download]

  • Bristol Eden Project Multi-Sensor Data Set [download]

  • SMT/COPPE/Poli/UFRJ Visible-Infrared Database [download]

  • LAB IVRL RGB-NIR Scene Dataset [download]

  • LITIV-VAP dataset [LAB website][download]

  • NOAA Geostationary satellite server [website]

  • CVC-09: FIR Sequence Pedestrian Dataset [download]

OTCBVS Benchmark Dataset Collection:

  • OSU Thermal Pedestrian Database [download]

  • IRIS Thermal/Visible Face Database [download]

  • OSU Color and Thermal Database [download]

  • Terravic Facial Infrared Database [download]

  • Terravic Motion Infrared Database [download]

  • Terravic Weapon Infrared Database [download]

  • CBSR NIR Face Dataset [download]

  • CSIR-CSIO Moving Object Thermal Infrared Imagery Dataset (MOTIID) [download]

  • Pedestrian Infrared/visible Stereo Video Dataset [download]

  • Thermal Infrared Video Benchmark for Visual Analysis [download]

  • Maritime Imagery in the Visible and Infrared Spectrums [download]

1.2 Multi-Focus Data

  • Multi Focus - Photography Contest [download]

  • etfbl "all-in-focus" [download]

  • Lytro Multi-focus Dataset [download]

  • sametaymaz Multi-focus-Image-Fusion-Dataset [download]

  • Chun-Chieh Tsai Standard images for multifocus image fusion [download]

1.3 Medical Data

1.4 Other Data

  • Kodak Lossless True Color Image Suite [website]

  • Caltech Pedestrian Detection Benchmark [download]

2. Workshops

  • IEEE/ISPRS 4th Joint Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding (ICCV 2017) [website]

3. Websites

3.1 Journals

  • Information Fusion - Journal - Elsevier [website]

  • Infrared Physics & Technology - Journal - Elsevier [website]

3.2 Pages

  • metapix solutions beyond the pictures [website]

3.3 Researchers

4. Papers

4.0 Survey

2019

  • Infrared and visible image fusion methods and applications: A survey (Information Fusion) [paper]

  • A survey on region based image fusion methods (Information Fusion) [paper]

2018

  • A survey of infrared and visual image fusion methods (Infrared Physics & Technology) [paper]

  • Deep learning for pixel-level image fusion: Recent advances and future prospects (Information Fusion) [paper]

  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review (Information Fusion) [paper]

2017

  • Medical image fusion: A survey of the state of the art (Information Fusion) [paper]

before

  • Pixel-level image fusion: A survey of the state of the art (Information Fusion) [paper]

  • Medical image fusion: A survey of the state of the art (Information Fusion) [paper]

  • A general framework for multiresolution image fusion: from pixels to regions (Information Fusion 2003) [paper]

4.1 Infrared-Visible Fusion

2019

  • FusionGAN：A generative adversarial network for infrared and visible image fusion (Information Fusion) [paper] [code]

2018

  • Infrared and Visible Image Fusion with ResNet and zero-phase component analysis [paper] [code]

  • DenseFuse: A Fusion Approach to Infrared and Visible Images (IEEE Trans. Image Process.) [paper] [code] [code]

  • Infrared and Visible Image Fusion using a Deep Learning Framework(ICPR2018) [paper] [code]

  • Infrared and visible image fusion using Latent Low-Rank Representation [paper] [code]

  • Infrared and visible image fusion using a novel deep decomposition method[paper] [code]

  • Infrared-Visible Image Fusion Based on Convolutional Neural Networks (CNN)(IScIDE 2018) [paper]

  • Infrared and visible image fusion based on convolutional neural network model and saliency detection via hybrid l0-l1 layer decomposition (PNAS2017) [paper]

  • Infrared and visible image fusion with convolutional neural networks [paper]

2017

  • Infrared and visual image fusion through infrared feature extraction and visual information preservation [paper][code]

2016

4.2 Multi-Focus Fusion

2019

  • Multi-focus image fusion using deep support value convolutional neural network [paper]

2018

  • Robust sparse representation based multi-focus image fusion with dictionary construction and local spatial consistency [paper]

  • Multi-focus image fusion based on edges and focused region extraction [paper]

  • Multi-focus: Focused region finding and multi-scale transform for image fusion [paper]

  • Fully Convolutional Network-Based Multifocus Image Fusion [paper]

  • Convolutional Neural Network Based Multi-Focus Image Fusion [paper]

  • Pixel convolutional neural network for multi-focus image fusion [paper]

  • Multi-focus image fusion with the all convolutional neural network [paper]

  • Neural Network Based Multi-Focus Image Fusion [paper]

2017

  • Multi-focus image fusion with a deep convolutional neural network [paper]

2016

4.3 Others

2019

  • Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net [paper]

2018

  • Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain (IEEE Transactions on Instrumentation and Measurement) [paper] [code]

2017

  • A medical image fusion method based on convolutional neural networks (ICIF 2017) [paper] [code]

before

  • A general framework for image fusion based on multi-scale transform and sparse representation (Information Fusion) [paper] [code]

  • A Neuro-Fuzzy Approach for Medical Image Fusion (IEEE Engineering in Medicine and Biology Society) [paper] [code]

Updated20190417