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Third, to better fuse the complementary salient information extracted from multi-modal images, we design an S-shaped weighting function to fuse the large-scale layers, and employ the maximum selection principle to handle the small-scale layers.
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(a) Original image; (b) Large-scale layer; (c) Detail layer.
Adaptive tone mapping is then applied to enhance large-scale layer image.
First of all, bilateral filter is used to decompose image into two layers: large-scale layer and detail layer.
In fact, only large-scale layer image is enhanced, and the detail layer image is kept unchanged.
(a) Original image; (b) Large-scale layer; (c) Histogram of (b) and two thresholds,, ; (d) The result of tri-leveling image.
By applying histogram equalization only to the large-scale layer, details of the images can be preserved.
Then, the large-scale layer image is divided into three regions: bright, mid-tone, and dark region.
Large-scale layered double hydroxides (LDHs) were observed using SEM, the compositions of which were identified and EDS and XRD.
The principle behind the algorithm is that an image can be decomposed into a large-scale layer and a detail layer by using bilateral filtering.
The color information is kept unchanged before the large-scale layer is obtained from bilateral filtering allowing the color appearance of input image can be remained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com