Module resampling 

Raster resampling algorithms

This module provides various resampling algorithms for changing the resolution or dimensions of raster data while maintaining spatial accuracy.

Algorithms

• Nearest neighbor (fastest, preserves exact values)
• Bilinear interpolation (smooth, good for continuous data)
• Bicubic interpolation (higher quality, smoother)
• Lanczos resampling (highest quality, most expensive)

Example

use oxigdal_algorithms::resampling::{ResamplingMethod, Resampler};
use oxigdal_core::buffer::RasterBuffer;
use oxigdal_core::types::RasterDataType;

// Create a resampler
let resampler = Resampler::new(ResamplingMethod::Bilinear);

// Resample a raster buffer
let src = RasterBuffer::zeros(1000, 1000, RasterDataType::Float32);
let dst = resampler.resample(&src, 500, 500)?;

Structs

BicubicResampler

Bicubic interpolation resampler

BilinearResampler

Bilinear interpolation resampler

LanczosResampler

Lanczos resampler with configurable lobe count

NearestResampler

Nearest neighbor resampler

Resampler

Generic resampler that can use any resampling method

Enums

ResamplingMethod

Resampling methods