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.

Teknik Detay

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.

Ornek

```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);
```

Ilgili Araclar

C Compress Image R Resize Image C Crop Image R Rotate Image F Flip Image C Convert Image W Watermark Image S SVG to PNG I Image to Base64 R Round Corners A Add Border I Image Filters A Adjust Image B Blur Image S Sharpen Image M Make Square G Grayscale Image S Sepia Image P Pixelate Image S Strip Image Metadata

Ilgili Terimler

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