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3dfdct

Fast Algorithm for the 3-D DCT and its video compression application

a-new-saliency-driven-fusion-method-based-on-complex-wavelet-transform-for-remote-sensing-images

a new saliency-driven image fusion method based on complex wavelet transform for remote sensing images is proposed to satisfy different needs of spatial and spectral resolution for different regions

amef_dehazing

AMEF - Artificial Multiple Exposure Fusion for Image Dehazing

band-assignment

A toolbox for assigning an hyperspectral image subset to a single multispectral band and perform standard fusion on each group.

blind_remote_sensing

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation

boundary-finding-based-multi-focus-image-fusion

Code for "Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure"

cf-net

Code and pre-trained models

confidence-fusion

Confidence driven image fusion based on TGV regularization

dct-tracking

Matlab code for the paper "Incremental learning of 3D-DCT compact representations for robust visual tracking. X. Li, A. Dick, C. Shen, A. van den Hengel, H. Wang. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013."

dctvarfusion

DCT+Variance - multi-focus image fusion technique

deepguidedfilter

Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

exposure-fusion

this is the implemention for paper：Qiantong. Wang, Weihai. Chen, Xingming. Wu, and Zhengguo. Li, "Detail-enhanced Multi-scale Exposure Fusion in YUV Color Space," IEEE Transactions on Circuits and Systems for Video Technology. doi: 10.1109/TCSVT.2019.2919310

fast-zero-learning-fusion

fusion

gradient-domain-imagefusion

An algorithm for fusion of a stack of multi-exposure or multi-focus images

hdr-multi-exposure-image-fusion-source-code-

Matlab Source Code of article “ A Precise Multi-Exposure Image Fusion Method Based on Low-level Features” research use only. Please cite： Qi, G.; Chang, L.; Luo, Y.; Chen, Y.; Zhu, Z.; Wang, S. A Precise Multi-Exposure Image Fusion Method Based on Low-level Features. Sensors 2020, 20, 1597. BIBTEX: @Article{s20061597, AUTHOR = {Qi, Guanqiu and Chang, Liang and Luo, Yaqin and Chen, Yinong and Zhu, Zhiqin and Wang, Shujuan}, TITLE = {A Precise Multi-Exposure Image Fusion Method Based on Low-level Features}, JOURNAL = {Sensors}, VOLUME = {20}, YEAR = {2020}, NUMBER = {6}, ARTICLE-NUMBER = {1597} }

id-fusion

image-fusion

image-fusion-1

this repository contains matlab code for image fusion methods, objective evaluation metrics, Friedman statistical test and its post-hoc tests

image-fusion-liuyu

image-fusion-toolkit

Image fusion toolbox, including partial algorithm implementation and objective evaluation indicators

image-fusion-with-vsm-and-wls

Infrared and visible image fusion based on visual saliency map and weighted least square optimization

image_fusion_evaluation_toolbox

Toolbox to evaluate the proposed depth assisted multi-focus image fusion method and other multi-focus image fusion method

imagefusion

imagefusion_infrared_visible_latlrr

infrared anf visible image fusion using latent low-rank representation

imagefusion_mdlatlrr

MDLatLRR (IEEE TIP 2020)

imagefusion_noisy_lrr

multi-focus image fusion using low-rank representation

imagefusionmetrics-1

imagefusionsystem

infrared-and-visual-image-fusion-via-infrared-feature-extraction-and-visual-information-preservation

Code for "Infrared and Visual Image Fusion through Infrared Feature Extraction and Visual Information Preservation"