IMAGE FUSION BASED ON JOINT NONSUBSAMPLED CONTOURLET AND OVERCOMPLETE BRUSHLET TRANSFORMS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

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Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 9 , ISSUE 4 (December 2016) > List of articles

IMAGE FUSION BASED ON JOINT NONSUBSAMPLED CONTOURLET AND OVERCOMPLETE BRUSHLET TRANSFORMS

Zhang Pai *

Keywords : Non-subsampled contourlet transform, Over-complete brushlet transform, image fusion, region energy feature.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 4, Pages 2,186-2,203, DOI: https://doi.org/10.21307/ijssis-2017-959

License : (CC BY-NC-ND 4.0)

Received Date : 12-July-2015 / Accepted: 11-January-2016 / Published Online: 01-December-2016

ARTICLE

ABSTRACT

This paper proposed an image fusion method based on a novel scheme with joint
nonsubsampled contourlet and overcomplete brushlet transform. And an improved region energy
operator is employed as the fusion strategy, which can take full advantage of the anisotropic texture
information and multidimensional singular information in the new multiresolution domain.
Experimental results shows that the proposed method improved the fusion results not only in visual
effects but also in objective evaluating parameters.

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