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

• Harvard Atlas [website]

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

• Durga Prasad Bavirisetti [website] [google scholar]

• Sudeb Das [website] [google scholar]

• Junjun Jiang [website] [github]

• Xudong Kang [website]

• Malay Kumar Kundu [website] [google scholar]

• Chang Li [website] [github]

• Hui Li [website] [github] [github]

• Yu Liu [website] [google scholar] [codes]

• Jinlei Ma [github]

• Jiayi Ma [website] [github]

• VPS Naidu [google scholar] [codes]

• Jin Xin [github]

• Kun Zhan [website] [github]

• Yu Zhang [website] [github]

• Jufeng Zhao [website]

• Zhiqiang Zhou [website] [github]

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