<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Non-sampled contourlet transform (NSCT) is a kind of non-down sampling image transformation, without spectrum aliasing, and the high-frequency region component can be further decomposed into various direction information, which has a good expression of image details. Therefore, this paper proposes an image fusion technology based on NSCT. Considering the different characteristics of low-frequency and high-frequency region components, the PCNN parallel method and ‘golden section method’ are used as double fusion rules, respectively in high- and low-frequency regions, whichperform the merge operation on the low area component. Experiments show that this algorithm has great advantages in preserving the details of image contour, texture and edge.</p>
</abstract>

Non-sampled contourlet transform (NSCT) is a kind of non-down sampling image transformation, without spectrum aliasing, and the high-frequency region component can be further decomposed into various direction information, which has a good expression of image details. Therefore, this paper proposes an image fusion technology based on NSCT. Considering the different characteristics of low-frequency and high-frequency region components, the PCNN parallel method and ‘golden section method’ are used as double fusion rules, respectively in high- and low-frequency regions, whichperform the merge operation on the low area component. Experiments show that this algorithm has great advantages in preserving the details of image contour, texture and edge.

A mathematical model of PCNN for image fusion with non-sampled contourlet transform

Electrical and Computer Engineering Department

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Non-sampled contourlet transform (NSCT) is a kind of non-down sampling image transformation, without spectrum aliasing, and the high-frequency region component...

A mathematical model of PCNN for image fusion with non-sampled contourlet transform

Publié en ligne: 20 mai 2022

Pages: 2243 - 2252

Reçu: 19 mars 2022

Accepté: 14 avr. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00197

Mots clés
Non-sampled Contourlet transform, image fusion, PCNN, Golden section method

© 2023 Pai Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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A mathematical model of PCNN for image fusion with non-sampled contourlet transform

Publié en ligne: 20 mai 2022

Pages: 2243 - 2252

Reçu: 19 mars 2022

Accepté: 14 avr. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00197

Mots clésNon-sampled Contourlet transform, image fusion, PCNN, Golden section method

© 2023 Pai Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Mots clés
Non-sampled Contourlet transform, image fusion, PCNN, Golden section method