Awesome

ImageIO.jl

FileIO.jl integration for image files

Format	Extensions	Provider	Implementation	Comment
JPEG	`.jpg`, `.jpeg`	JpegTurbo.jl	Julia wrapper of libjpeg-turbo	Benchmark results against other backends
OpenEXR	`.exr`	OpenEXR.jl	Julia wrapper of OpenEXR
Portable Bitmap formats	`.pbm`, `.pgm`, `.ppm`	Netpbm.jl	pure Julia
PNG (Portable Network Graphics)	`.png`	PNGFiles.jl	Julia wrapper of libpng	Benchmark vs. ImageMagick & QuartzImageIO
QOI (Quite Okay Image) format	`.qoi`	QOI.jl	pure Julia
DEC SIXEL (six-pixels) graphics	`.six`, `.sixel`	Sixel.jl	Julia wrapper of libsixel
TIFF (Tag Image File Format)	`.tiff`, `.tif`	TiffImages.jl	pure Julia	check OMETIFF.jl for OMETIFF support
WebP	`.webp`	WebP.jl	Julia wrapper of libwebp

Installation

Install with Pkg:

pkg> add ImageIO  # Press ']' to enter te Pkg REPL mode

Usage

using FileIO
save("test.png", rand(Gray, 100, 100))
load("test.png")
save("test.ppm", rand(RGB, 100, 100))
load("test.ppm")
save("test.tiff", rand(RGB, 100, 100))
load("test.tiff")

Canonicalization

Some image loaders may return custom AbstractArray types. By default, this package "canonicalizes" the returned type to be either Array or IndirectArray. An exception is for calls like load(filename; mmap=true) where the image data will be "lazily" loaded using memory-mapped IO, in which case the default is to allow the lower-level I/O package to return whatever AbstractArray type it chooses.

You can manually control canonicalization with load(filename; canonicalize=tf) where tf is true or false.

Compatibility

If you're using old Julia versions (VERSION < v"1.3"), a dummy ImageIO version v0.0.1 with no real function will be installed. In this case, you still need to install ImageMagick.jl to make FileIO.save/FileIO.load work.