Now, rewiring your mind to project the definition towards images, you can refer to interpolation as a method that decides which pixel gets the value based on its neighboring pixel either when increasing or decreasing the size of the image. Image interpolation refers to the “guess” of intensity values at missing locations. Interpolation is a method of constructing new data points within the range of a discrete set of known data points. You might have come across the interpolation argument being passed while calling the cv2.resize command or during one of the classes you’ve taken back in undergraduate. How do you Choose an Interpolation Method?
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