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Multi-exposure and Multi-focus Image Fusion in Gradient Domain

version 1.0.0.0 (29.9 KB) by Sujoy Paul
An algorithm for fusion of a stack of multi-exposure and multi-focus images

18 Downloads

Updated 22 May 2016

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Multi-exposure and Multi-focus Image Fusion in Gradient Domain
Sujoy Paul, Ioana S. Sevcenco and Panajotis Agathoklis
This is an implementation of an algorithm for fusion of multi-exposure and multi-focus images in gradient domain, using a wavelet based method coupled with a Poisson Solver at each resolution to decrease the artifacts. This method is applicable for both color as well as gray scale images. Input is a stack of multi-exposure or multi-focus images and output is a single fused image. A brief description of this submission is provided in the ReadMe.pdf file.
This submission is based on the algorithm proposed in
[1] S. Paul, I.S. Sevcenco, P. Agathoklis, "Multi-exposure and Multi-focus image fusion in gradient domain", Journal of Circuits, Systems, and Computers, Vol. 25, No. 10 (2016), DOI: 10.1142/S0218126616501231
This submission is inspired by
[2] I. S. Sevcenco, P. J. Hampton and P. Agathloklis, A wavelet based method for image reconstruction from gradient data with applications, Multidimens. Syst. Signal Process. 26 (2013) 717–737

Cite As

Sujoy Paul (2021). Multi-exposure and Multi-focus Image Fusion in Gradient Domain (https://www.mathworks.com/matlabcentral/fileexchange/48782-multi-exposure-and-multi-focus-image-fusion-in-gradient-domain), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Jouko Paavilainen

Please, note that "GradientFusion" function requires Image Processing Toolbox.

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
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