Words and Buttons Online offers interactive tutorials on math, algorithms, and programming. Image interpolation is explained as guessing pixels between pixels to create smooth images. Bilinear and bicubic interpolation methods are common but have their downsides. Inverse weight interpolation, a lesser-known technique, is introduced for image interpolation. The formula for 1D and 2D interpolation is provided, emphasizing the importance of computational accuracy in image interpolation. The unique aspect of this interpolation method is the use of weights for each axis contributing via a product. The result is a smooth image with sharp features retained. Some computational issues exist, but the overall goal is achieved successfully.
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