What is Nearest Neighbor Interpolation?

Nearest neighbor interpolation assigns each output pixel the value of the closest source pixel. Because it performs no blending, the result is piecewise constant and can appear blocky when enlarged.

How Nearest Neighbor Interpolation works

Nearest-neighbor resampling maps each destination coordinate to the closest discrete source sample and copies that value unchanged. It performs no weighted average, so the output contains only values already present in the input. This makes the method computationally simple and semantically safe for categorical rasters, while diagonal edges and photographs develop stair steps or block-shaped regions. It is used in image transforms, texture sampling, and preprocessing when preserving exact sample identities matters more than smoothness.

Key facts

  1. For indexed masks and class-ID maps, blended interpolation can invent invalid category numbers; nearest neighbor preserves a single source label per output pixel.
  2. Upscaling by an integer factor duplicates each source pixel into a uniform block, which is desirable for pixel art but reveals the original sampling grid.
  3. Nearest filtering can shimmer when a textured surface shrinks or moves; mipmaps address minification by supplying prefiltered lower-resolution levels.

When Nearest Neighbor Interpolation matters

Choose nearest neighbor scaling for pixel art, masks, or label maps where intermediate values would be invalid. For photographs, its hard transitions usually look rougher than blended interpolation methods.

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