Multi-Exposure Image Fusion Based on Illumination Estimation

Version 1.2.0.0 (1,67 Mo) par Vassilios Vonikakis
A function for fusing two or more differently exposed images of a High Dynamic Range (HDR) scene.
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Mise à jour 10 juin 2016

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out=HDRblend(imagepath,image_type,contrast,gamma,verbose)
Fuses images of type 'image_type', located inside the folder specified by 'imagepath', adding local contrast enhancement defined by 'contrast', as well as gamma correction defined by 'gamma'
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imagepath: string - path of the folder containing the different exposures
image_type: string - image file format 'jpg', 'png' etc. All should be color images!
contrast: double in the range [0,100] - degree of local contrast compensation
gamma: logical - enable gamma compensation for the total overexposed and total underexposed images
verbose: logical - display intermediate results
All images must be of the same size and format!
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Based on the following publications. Please cite if used for academic purposes
1. Vonikakis, V., Bouzos, O. & Andreadis, I. (2011). Multi-Exposure Image Fusion Based on Illumination Estimation, IPA2011 (pp.135-142), Heraklion, Crete, Greece.
2. Vonikakis, V., & Andreadis, I. (2008). Multi-Scale Image Contrast Enhancement. ICARCV 2008. (pp. 385-391). Hanoi, Vietnam.
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This method is also available as a Windows executable and is part of the Orasis software, freely available in:
http://vonikakis.com

Citation pour cette source

Vassilios Vonikakis (2024). Multi-Exposure Image Fusion Based on Illumination Estimation (https://www.mathworks.com/matlabcentral/fileexchange/49275-multi-exposure-image-fusion-based-on-illumination-estimation), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2014a
Compatible avec toutes les versions
Plateformes compatibles
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HDRfusion/

Version Publié le Notes de version
1.2.0.0

Addressed most of the suggestions that Jan Simon highlighted. Thnx for the feedback!
1.1.0.0

Fixed a minor bug regarding the file separator (\ or /) for different operating systems. Now the code runs smoothly both in Windows, Linux and Mac. Thnx Florian for the suggestion!
1.0.0.0