Thread by @paulr_rohan

Image interpolation occurs when you resize or distort your image from one pixel grid to another.

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Image interpolation works in two directions, and tries to achieve a best approximation of a pixel's intensity based on the values at surrounding pixels.

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Image resizing is necessary when you need to increase or decrease the total number of pixels, whereas remapping can occur when you are correcting for lens distortion or rotating an image.

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Zooming refers to increase the quantity of pixels, so that when you zoom an image, you will see more detail.

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Common interpolation algorithms can be grouped into two categories: adaptive and non-adaptive.
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Adaptive methods change depending on what they are interpolating, whereas non-adaptive methods treat all pixels equally.

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Non-adaptive algorithms include: nearest neighbor, bilinear, bicubic, spline, sinc, lanczos and others.

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Adaptive algorithms include many proprietary algorithms in licensed software such as: Qimage, PhotoZoom Pro and Genuine Fractals

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