Nearest-neighbor interpolation assigns each requested location the value of its nearest available sample, with a specified convention for ties. In lossy block averaging, samples are placed at block centres and each is copied into its four original pixel positions. This enlarges the raster image without recovering discarded detail.
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Nearest-neighbor interpolation is a simple method used for interpolation in multidimensional spaces, particularly in the context of image processing and data resampling. It is a technique for estimating values at certain points based on the values of neighboring points. ### Key Features of Nearest-neighbor Interpolation: 1. **Methodology**: - The algorithm works by identifying the nearest data point (in terms of distance) to the point where an estimate is desired and assigns that value to the new point.