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

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.

Keywords

• non-sampled contourlet transform
• image fusion
• pcnn
• golden section method
• 08-04