Programming language: Go
License: ISC License
Tags: Images    

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Image resizing for the Go programming language with common interpolation methods.

Build Status


$ go get github.com/nfnt/resize

It's that easy!


This package needs at least Go 1.1. Import package with

import "github.com/nfnt/resize"

The resize package provides 2 functions:

  • resize.Resize creates a scaled image with new dimensions (width, height) using the interpolation function interp. If either width or height is set to 0, it will be set to an aspect ratio preserving value.
  • resize.Thumbnail downscales an image preserving its aspect ratio to the maximum dimensions (maxWidth, maxHeight). It will return the original image if original sizes are smaller than the provided dimensions.
resize.Resize(width, height uint, img image.Image, interp resize.InterpolationFunction) image.Image
resize.Thumbnail(maxWidth, maxHeight uint, img image.Image, interp resize.InterpolationFunction) image.Image

The provided interpolation functions are (from fast to slow execution time)

Which of these methods gives the best results depends on your use case.

Sample usage:

package main

import (

func main() {
    // open "test.jpg"
    file, err := os.Open("test.jpg")
    if err != nil {

    // decode jpeg into image.Image
    img, err := jpeg.Decode(file)
    if err != nil {

    // resize to width 1000 using Lanczos resampling
    // and preserve aspect ratio
    m := resize.Resize(1000, 0, img, resize.Lanczos3)

    out, err := os.Create("test_resized.jpg")
    if err != nil {
    defer out.Close()

    // write new image to file
    jpeg.Encode(out, m, nil)


  • Optimized access routines are used for image.RGBA, image.NRGBA, image.RGBA64, image.NRGBA64, image.YCbCr, image.Gray, and image.Gray16 types. All other image types are accessed in a generic way that will result in slow processing speed.
  • JPEG images are stored in image.YCbCr. This image format stores data in a way that will decrease processing speed. A resize may be up to 2 times slower than with image.RGBA.

Downsizing Samples

Downsizing is not as simple as it might look like. Images have to be filtered before they are scaled down, otherwise aliasing might occur. Filtering is highly subjective: Applying too much will blur the whole image, too little will make aliasing become apparent. Resize tries to provide sane defaults that should suffice in most cases.

Artificial sample

Original image Rings

Nearest-Neighbor Bilinear Bicubic Mitchell-Netravali Lanczos2 Lanczos3

Real-Life sample

Original image

Nearest-Neighbor Bilinear Bicubic Mitchell-Netravali Lanczos2 Lanczos3


Copyright (c) 2012 Jan Schlicht [email protected] Resize is released under a MIT style license.

*Note that all licence references and agreements mentioned in the resize README section above are relevant to that project's source code only.