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Image fusion based on pixel significance using cross bilateral filter

version 1.0.0.0 (135 KB) by Shreyamsha Kumar B. K.
Fuses multifoucs and multispectral images by weighted average using the weights computed from CBF.

2K Downloads

Updated 10 Nov 2017

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This software release consists of an implementation of the algorithm described in the paper:
B. K. Shreyamsha Kumar, “Image fusion based on pixel significance using cross bilateral filter”, Signal, Image and Video Processing, pp. 1-12, 2013. (doi:10.1007/s11760-013-0556-9)

Fuses source images by weighted average using the weights (edge strengths) computed from the detail images that are extracted from the source images using cross bilateral filter.

Download Original manuscript from

http://link.springer.com/article/10.1007/s11760-013-0556-9

or

http://dx.doi.org/10.1007/s11760-013-0556-9

Download draft manuscript from https://sites.google.com/view/shreyamsha in the Publications link.

Cite As

Shreyamsha Kumar B. K. (2021). Image fusion based on pixel significance using cross bilateral filter (https://www.mathworks.com/matlabcentral/fileexchange/43781-image-fusion-based-on-pixel-significance-using-cross-bilateral-filter), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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