Gaussian Filter - 2023.2 English

The GaussianBlur function applies Gaussian blur on the input image. Gaussian filtering is done by convolving each point in the input image with a Gaussian kernel.

Where , are the mean values and , are the variances in x and y directions respectively. In the GaussianBlur function, values of , are considered as zeroes and the values of , are equal.

API Syntax

template<int FILTER_SIZE, int BORDER_TYPE, int SRC_T, int ROWS, int COLS, int NPC =  1, int XFCVDEPTH_IN_1 = _XFCVDEPTH_DEFAULT, int XFCVDEPTH_OUT_1 = _XFCVDEPTH_DEFAULT>
void GaussianBlur(xf::cv::Mat<SRC_T, ROWS, COLS, NPC, XFCVDEPTH_IN_1> & src, xf::cv::Mat<SRC_T, ROWS, COLS, NPC, XFCVDEPTH_OUT_1> & dst, float sigma)

Parameter Descriptions

The following table describes the template and the function parameters.

Resource Utilization

The following table summarizes the resource utilization of the Gaussian Filter in different configurations, generated using Vivado HLS 2019.1 version tool for the Xczu9eg-ffvb1156-1-i-es1 FPGA, to progress a grayscale HD (1080x1920) image.

The following table summarizes the resource utilization of the Gaussian Filter in different configurations, generated using Vivado HLS 2019.1 version tool for the Xczu9eg-ffvb1156-1-i-es1 FPGA, to progress a 4K 3 Channel image.

Performance Estimate

The following table summarizes a performance estimate of the Gaussian Filter in different configurations, as generated using Vivado HLS 2019.1 tool for Xczu9eg-ffvb1156-1-i-es1 FPGA, to process a grayscale HD (1080x1920) image.