Skip to content

This is the official repository for the Arm ASTC Encoder, a texture compressor for the Adaptive Scalable Texture Compression data format.

License

Notifications You must be signed in to change notification settings

MercyMo/astc-encoder

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

About

This is the official repository for the Arm® Adaptive Scalable Texture Compression (ASTC) Encoder, astcenc, a command-line tool for compressing and decompressing images using the ASTC texture compression standard.

The ASTC format

The ASTC compressed data format, developed by Arm® and AMD, has been adopted as an official extension to the Open GL®, OpenGL ES, and Vulkan® graphics APIs. It provides a major step forward both in terms of image quality at a given bitrate, and in terms of the format and bitrate flexibility available to content creators. This allows more assets to use compression, often at a reduced bitrate compared to legacy formats, reducing memory bandwidth and energy consumption.

Read our ASTC Format Overview for a quick introduction, or read the full data format specification:

License

This project is licensed under the Apache 2.0 license. By downloading any component from this repository you acknowledge that you accept terms specified in the LICENSE.txt file.

Branches

The master branch is an active development branch for the next major release of the compressor; version 2.x. It aims to be a stable branch, but as it is still under development expect changes to both the command line and the quality-performance trade offs the compressor is making.

The 1.x branch is a maintenance branch for the 1.x release series. It is stable and we will now only land bug fixes for this branch; no new functionality or performance improvements should be expected.

Encoder feature support

The encoder supports compression of low dynamic range (BMP, JPEG, PNG, TGA) and high dynamic range (EXR, HDR) images, as well as a subset of image data wrapped in the DDS and KTX container formats, into ASTC format output images.

The decoder supports decompression of ASTC format input images into low dynamic range (BMP, PNG, TGA), high dynamic range (EXR), or DDS and KTX wrapped output images.

The encoder allows control over the compression time/quality tradeoff with exhaustive, thorough, medium, and fast encoding quality presets.

The encoder allows compression time and quality analysis by reporting the compression time, and the Peak Signal-to-Noise Ratio (PSNR) between the input image and the compressed output.

ASTC format support

The ASTC specification allows three profiles of implementation:

  • 2D Low Dynamic Range (LDR profile)
  • 2D LDR and High Dynamic Range (HDR profile)
  • 2D and 3D, LDR and HDR (Full profile)

The astcenc compressor supports generation of images for all three profiles. In addition it also supports all of the ASTC block sizes and compression modes, allowing content creators access the full spectrum of quality-to-bitrate options ranging from 0.89 bits/pixel up to 8 bits/pixel.

Prebuilt binaries

Prebuilt release build binaries of astcenc for 64-bit Linux, macOS, and Windows are available in the GitHub Releases page. Note that currently no 2.x series pre-built binaries are available.

Getting started

Open a terminal, change to the appropriate directory for your system, and run the astcenc encoder program, like this on Linux or macOS:

./astcenc

... or like this on Windows:

astcenc

Invoking astcenc -help gives an extensive help message, including usage instructions and details of all available command line options. A summary of the main encoder options are shown below.

Compressing an image

Compress an image using the -cl \ -cs \ -ch \ -cH modes. For example:

astcenc -cl example.png example.astc 6x6 -medium

This compresses example.png using the LDR color profile and a 6x6 block footprint (3.55 bits/pixel). The -medium quality preset gives a reasonable image quality for a relatively fast compression speed. The output is stored to a linear color space compressed image, example.astc.

The modes available are:

  • -cl : use the linear LDR color profile.
  • -cs : use the sRGB LDR color profile.
  • -ch : use the HDR color profile, tuned for HDR RGB and LDR A.
  • -cH : use the HDR color profile, tuned for HDR RGBA.

Decompressing an image

Decompress an image using the -dl \ -ds \ -dh \ -dH modes. For example:

astcenc -dh example.astc example.tga

This decompresses example.astc using the full HDR feature profile, storing the decompressed output to example.tga.

The modes available are:

  • -dl : use the linear LDR color profile.
  • -ds : use the sRGB LDR color profile.
  • -dh and -dH : use the HDR color profile.

Note that for decompression there is no difference between the two HDR modes, they are both provided simply to maintain symmetry across operations.

Measuring image quality

Review the compression quality using the -tl \ -ts \ -th \ -tH modes. For example:

astcenc -tl example.png example.tga 5x5 -thorough

This is equivalent to using using the LDR color profile and a 5x5 block size to compress the image, using the -thorough quality preset, and then immediately decompressing the image and saving the result. This can be used to enable a visual inspection of the compressed image quality. In addition this mode also prints out some image quality metrics to the console.

The modes available are:

  • -tl : use the linear LDR color profile.
  • -ts : use the sRGB LDR color profile.
  • -th : use the HDR color profile, tuned for HDR RGB and LDR A.
  • -tH : use the HDR color profile, tuned for HDR RGBA.

Experimenting

Efficient real-time graphics benefits from minimizing compressed texture size, as it reduces memory bandwidth, saves energy, and can improve texture cache efficiency. However, like any lossy compression format there will come a point where the compressed image quality is unacceptable because there are simply not enough bits to represent the output with the precision needed. We recommend experimenting with the block footprint to find the optimum balance between size and quality, as the finely adjustable compression ratio is one of major strengths of the ASTC format.

The compression speed can be controlled from -fast, through -medium and -thorough, up to -exhaustive. In general, the more time the encoder has to spend looking for good encodings the better the results, but it does result in increasingly small improvements for the amount of time required.

There are many other command line options for tuning the encoder parameters which can be used to fine tune the compression algorithm. See the command line help message for more details.

Documentation

The ASTC Format Overview page provides a high level overview of the ASTC data format, how it encodes data, and why it is both flexible and efficient.

The Effective ASTC Encoding page looks at some of the guidelines that should be followed when compressing data using astcenc. It covers:

  • How to efficiently encode data with fewer than 4 channels.
  • How to efficiently encode normal maps, sRGB data, and HDR data.
  • Coding equivalents to other compression formats.

The Building ASTC Encoder page provides instructions on how to build astcenc from the sources in this repository.

The Testing ASTC Encoder page provides instructions on how to test any modifications to the source code in this repository.

Support

If you have issues with the astcenc encoder, or questions about the ASTC texture format itself, please raise them in the GitHub issue tracker.

If you have any questions about Arm Mali GPUs, application development for Arm Mali GPUs, or general graphics technology please submit them on the Arm Mali Graphics forums.


Copyright (c) 2013-2020, Arm Limited and contributors. All rights reserved.

About

This is the official repository for the Arm ASTC Encoder, a texture compressor for the Adaptive Scalable Texture Compression data format.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 71.9%
  • C 19.7%
  • Python 8.0%
  • Other 0.4%