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Jan Schlicht 83c6a99326 Merge pull request #64 from nfnt/update-readme		6 lat temu
.travis.yml	ca1e14ffbd Update Travis configuration.	6 lat temu
LICENSE	fa6861a5fd Documentation updated	12 lat temu
README.md	dd4fa8443f Update README.	6 lat temu
converter.go	891127d8d1 Fix alpha pre-multiplication.	8 lat temu
converter_test.go	299762ed77 Add unit tests for converter.go	10 lat temu
filters.go	0feec06645 Dst pixel coordinate fix	9 lat temu
nearest.go	79dc2b616d Add functions for nearest-neighbor resize of NRGBA, NRGBA16.	9 lat temu
nearest_test.go	eefd4737aa Optimize YCbCr image resize	10 lat temu
resize.go	874f89dba4 Don't resize inputs with zero width or height	8 lat temu
resize_test.go	874f89dba4 Don't resize inputs with zero width or height	8 lat temu
thumbnail.go	b744503c5c Add: thumbnail helper function	11 lat temu
thumbnail_test.go	b744503c5c Add: thumbnail helper function	11 lat temu
ycc.go	14554cc7da Support 411 and 410 subsampling rations for go1.5+	6 lat temu
ycc_test.go	14554cc7da Support 411 and 410 subsampling rations for go1.5+	6 lat temu

This package is no longer being updated! Please look for alternatives if that bothers you.

Resize

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

Installation

$ go get github.com/nfnt/resize

It's that easy!

Usage

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)

NearestNeighbor: Nearest-neighbor interpolation
Bilinear: Bilinear interpolation
Bicubic: Bicubic interpolation
MitchellNetravali: Mitchell-Netravali interpolation
Lanczos2: Lanczos resampling with a=2
Lanczos3: Lanczos resampling with a=3

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

Sample usage:

package main

import (
	"github.com/nfnt/resize"
	"image/jpeg"
	"log"
	"os"
)

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

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

	// 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 {
		log.Fatal(err)
	}
	defer out.Close()

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

Caveats

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.