#PyrUp

Pyrup operator through the smoothing, sampling and other processes will be up-sampled picture, to generate the length and width of the original picture twice the size of the picture, commonly used in the construction of the image pyramid, access to high-resolution original picture and other scenarios.

#Operator Effect

Input Image	Parameter	Output Image
	-

#Principle

The implementation process of up-sampling is to expand the original image first, inserting zeros on the even rows and columns of the original image, and then performing Gaussian smoothing on the image to finally obtain the target image. The length and width conform to the following constraints:

$dst.width=src.width*2$

$dst.height=src.height*2$

The Gaussian filter kernel used in the Gaussian smoothing stage is as follows:

$\begin{aligned}kernel = \frac{1}{64}\begin{bmatrix}1 & 4 & 6 & 4 & 1 \\4 & 16 & 24 & 16 & 4 \\6 & 24 & 36 & 24 & 6 \\4 & 16 & 24 & 16 & 4 \\1 & 4 & 6 & 4 & 1 \end{bmatrix}\end{aligned}$

#API Interface

For detailed interface information, please refer to hbVPPyrUp.

#Usage