How to downsample image with custom kernel in opencv?

Question

I want to down sample image, but i don't want to use gaussian kernel. Is there any opencv function for that purpose?

UPDATE:i have an image with size m by n. i want result image with size m/2 by n/2, such that:

result[i,j]=(
    a*input[i*2,j*2]+
    b*input[i*2+1,j*2]+
    c*input[i*2,j*2+1]+
    d*input[i*2+1,j*2+1]
    )/e

how can i do that efficiently with opencv?

Answer 1

You're looking for resize().

From wiki-downsampling:

In signal processing, downsampling is the process of reducing the sampling rate of a signal. This is usually done to reduce the data rate or the size of the data.