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## Main Question or Discussion Point

Let say we have NxM pixels and we need to cut it down to 2/3*(NxM)

The correct method to achieve this is to convolute the original image with sinc(k)sinc(l), then used the nearest neighbor technique to on the convoluted image. Where k and l is matched to the frequency content of the lower resolution image.

Nearest neighbor technique is for the downscaled pixel to find the closest pixel at its current position of the original image and take that color.

Question is: What does the convolution of the 2D sinc functions do to the original image to make it appropriate enough to use the nearest neighbor technique to down scaled the image.

Thanks in advance

The correct method to achieve this is to convolute the original image with sinc(k)sinc(l), then used the nearest neighbor technique to on the convoluted image. Where k and l is matched to the frequency content of the lower resolution image.

Nearest neighbor technique is for the downscaled pixel to find the closest pixel at its current position of the original image and take that color.

Question is: What does the convolution of the 2D sinc functions do to the original image to make it appropriate enough to use the nearest neighbor technique to down scaled the image.

Thanks in advance