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.