FIGURE 4 (b) Signal Enhanced by ERLLP.
The layered enhancement effect is illustrated in Figure 5. As we
traverse the pyramid, images at different levels exhibit distinct
resolutions and varying degrees of detail. The lower the layer, the more
pronounced the detail. Specifically, the detail becomes more pronounced
as we descend the levels. The image at level L1 is replete with
intricate details, whereas the image at level L4 is characterized by
fewer nuances. Consequently, in this paper, differential operators of
lower orders were employed for convolution operations on the lower
layers of the pyramid images. For the upper layers of the pyramid,
differential operators of higher orders were chosen. The fractional
order differentials V1, V2, V3, V4 , and V4V4 were selected as
0.5, 0.6, 0.7, and 0.8 respectively. The enhanced Laplacian pyramid
images are denoted as EL 1, EL 2, EL 3, and EL 4
respectively. A comparison of the pyramid layer images before and after
enhancement, as shown in Figure 5, indicates that the signal trend items
and noise of the pyramid images at different layers can be effectively
eliminated.