Lánczos Interpolation Explained (2022)
6 days ago
- #fourier-analysis
- #image-processing
- #interpolation
- Lánczos interpolation is a popular method for resizing images, known for producing sharp and non-blocky results.
- The method is based on the sinc function, which has ideal properties for interpolation, including preserving samples and limiting frequencies.
- Lánczos interpolation addresses the impracticality of using sinc directly by truncating and smoothing it with a Lanczos window.
- The technique mitigates Gibbs oscillations, though some ringing artifacts may still appear, especially around sharp edges.
- Lánczos interpolation is derived from Fourier analysis and the Shannon-Nyquist sampling theorem, ensuring mathematically sound reconstruction of signals.