What is Image Interpolation?

Image Interpolation — Resize Algorithms Compared

Image interpolation is the method used to calculate new pixel values when resizing an image. Different algorithms (nearest-neighbor, bilinear, bicubic, Lanczos) trade speed for quality when scaling images up or down.

Detalhe técnico

Nearest-neighbor copies the closest pixel (fastest, blocky). Bilinear averages 4 neighbors. Bicubic uses 16 neighbors with cubic weighting. Lanczos uses a sinc-based windowed filter for the sharpest results.

Exemplo

```javascript
// Image compression via Canvas
canvas.toBlob(
  blob => console.log(`Size: ${(blob.size/1024).toFixed(0)} KB`),
  'image/jpeg',
  0.8  // quality: 0.0 (smallest) to 1.0 (best)
);

// WebP output (25-34% smaller than JPEG)
canvas.toBlob(cb, 'image/webp', 0.8);
```

Ferramentas relacionadas

C Comprimir Imagem R Redimensionar Imagem R Recortar Imagem G Girar Imagem E Espelhar Imagem C Converter Imagem M Marca d'Água em Imagem S SVG para PNG I Imagem para Base64 A Arredondar Cantos A Adicionar Borda F Filtros de Imagem A Ajustar Imagem D Desfocar Imagem N Nitidez de Imagem T Tornar Quadrada G Grayscale Image S Sepia Image P Pixelate Image S Strip Image Metadata

Termos relacionados

Alpha Channel Bit Depth Chroma Subsampling AVIF Image Optimization Image Histogram Noise Reduction (Image) Image Segmentation Dithering (Image) Alpha Compositing Image Pyramid Image Registration Color Grading (Image) Batch Resize Aspect Ratio String Interpolation Interpolation (Math) Canvas